Universidade José Eduardo dos Santos

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China, Ningbo

Department of Electrical and Electronic Engineering at University of Nottingham Ningbo China is seeking outstanding Research Fellows in Electronic Engineering (OUTSOURCED) to join Industrial Joint-Lab on Smart Mobility and Transportation.

Your Responsibility

The purpose of this role is to conduct cutting-edge research on 5G/6G technologies and their integration with smart transportation systems, with a focus on C-V2X applications.


	Formulating research questions and objectives towards the development of research programme for both the lab and industrial partners. This includes the establishment of methodologies and techniques to effectively conduct research within the specified area.
	Conducting research, which includes developing models, testbeds, conducting experiments, and performing analyses, all while adhering to project deadlines and collaborating seamlessly with team members and partners.
	Demonstrating successful research outputs by publishing in high-impact journals and presenting at top international conferences.
	Identifying opportunities and assisting senior staff members in writing bids for research grant applications at both national and international levels.
	To participate in training and staff development events as trainer or trainee as appropriate.
	To maintain appropriate professional development, expertise and awareness.
	To undertake other tasks and responsibilities as may reasonably be required.


About You


	PhD in relevant subject areas;
	Proven track record in high quality journals and conferences publications;
	Practical experience of applying the specialist skills and techniques required for the role;
	Good oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus.


About Us

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

About Industrial Joint-Lab on Smart Mobility and Transportation

The primary aim of this laboratory is to develop innovative technologies that address the growing complexities and demands of modern urban mobility. Through pioneering research and development, the lab seeks to create solutions that are adaptable, scalable, and capable of improving urban transportation systems.

In close collaboration with industry partners, the laboratory focuses on enhancing traffic safety, efficiency, and sustainability. This includes developing state-of-the-art communication protocols, sensor technologies, and AI-driven decision-making systems that empower smarter mobility infrastructure. A core emphasis lies in advancing autonomous driving technologies and connected autonomous vehicles (CAVs) to enable seamless vehicle-to-everything (V2X) communication.

By integrating these technologies, the lab aims to reduce road accidents, optimise traffic flow, and mitigate congestion in increasingly dense urban environments. The research also explores the deployment of resilient and adaptive systems that can handle real-time data from complex environments, enabling CAVs to make instantaneous and accurate decisions.

Additionally, the lab addresses the broader ecosystem of urban mobility, including eco-friendly solutions and sustainable transportation models that align with smart city initiatives. This comprehensive approach ensures that the technologies developed not only meet current mobility challenges but also anticipate future demands, facilitating safer, greener, and more efficient urban transport networks.

Key Areas:

5G and beyond C-V2X Technologies: Enhance vehicle-to-infrastructure (V2I) communication for road safety, traffic efficiency, and autonomous driving.

Smart Sensors and Autonomous Systems: Develop advanced sensors and AI integration for improved vehicle localisation, obstacle detection, and real-time environmental perception.

Connected and Autonomous Vehicles (CAVs): Advance CAV technologies to optimise traffic management, reduce congestion, and improve road safety.

Sustainable Urban Mobility Solutions: Research eco-friendly transportation, such as electric public transport, to promote sustainable urban mobility.

The target breakthrough includes cutting-edge technologies for smart mobility, including C-V2X communication, smart sensors, and AI-driven autonomous systems. These technologies will reduce traffic congestion, enhance road safety, and support the deployment of autonomous vehicles, contributing to sustainable and efficient urban mobility solutions.

Your Remuneration, Benefits and Support

You will be offered a fixed term outsourced contract initially with effect from February 2025 or as soon as thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential.

How to Apply

Applicants should submit an application via our on-line application system before 17 January 2025. Only on-line applications will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China.

Applications should include but are not limited to the following:


	A cover letter
	An up-to-update CV includes academic and research achievement list
	A Research proposal ?


Enquiries

Informal enquiries regarding the research project may be addressed to Dr C.F. Kwong (Chiew-Foong.Kwong@nottingham.edu.cn) or Dr David Chieng (David.Chieng@nottingham.edu.cn). If you are unable to apply on-line please contact the Human Resources Office, Tel: 86 574 88180000(Ext. 8404).


University of Nottingham Ningbo, China

United Kingdom, London

Student Registry - Student Records & Data Team

Location:? Avery Hill Campus
Salary:? ?27,344 to ?30,505 plus ?5400 London weighting per annum
Contract?Type:?Fixed Term - until December 2025
Closing?Date:?Thursday 02 January 2025
Interview?Date:?To be confirmed
Reference:? 4804

?

The Directorate of Student and Academic Services is seeking to appoint a Student Records Administrator.

?

Based within the Student Records team they will be responsible for undertaking a range of administrative duties associated with the maintenance of student records. Ensuring accurate and up to date records within the Student Record System, as well as other tasks such as creating Progression and Award Board cohorts and ensuring accurate data for statutory reporting.?

Working with the Student Records team, colleagues across Student and Academic Services and Faculties, the post holder will on occasion be required to deputise for the Student Records Team Leader in their absence. The successful candidate will have proven experience in a demanding office environment whilst continuing to maintain high levels of service delivery. This role requires strong administrative skills as well as excellent interpersonal and customer service skills.

The post holder will work collaboratively with colleagues across the University, liaising with academic departments and professional services staff, to ensure delivery of an excellent student experience.?

For an informal discussion about the post please contact Francesco Malgieri on?francesco.malgieri@gre.ac.uk. ?

Should you have any queries please contact the People Directorate Team on?peopleoperationssas@gre.ac.uk.

We operate a hybrid working policy, as set out in the University’s?Working Principles and Guidelines.

Further details of the fantastic benefits and what we offer can be found here:?Our benefits - what we offer | Jobs and careers | University of Greenwich

To apply, please visit the University of Greenwich vacancies page and complete all details, including the supporting statements (please note attached CVs and personal statements will not be seen by the recruitment panel at the application stage).?Current Vacancies - Jobs at Greenwich?

Employment Visa:?Under the UK Government Points Based System scheme this role?does not?meet the criteria to be sponsored for a Skilled Worker Route application.?

We are looking for people who can help us achieve our?Strategic Plan,?through the values we expect for our whole university community, of being Inclusive, Collaborative and Impactful.

Academic Career Pathways

The university welcomes people from diverse and underrepresented communities who can help the university to achieve its mission.?

We do this through taking positive action such as encouraging applications from Black, Asian and Minority Ethnic, disabled and LGBT+ people. As part of our commitment to?Equality, Diversity and Inclusion, Time to Change Employer Pledge/Mentally Healthy Universities, we are committed to promoting and supporting the physical and mental health of all our staff, and removing barriers to improve inclusion.?

We encourage applicants to disclose experience of mental health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job application form.?

We are making significant strides to understand and continuously improve our employees’ experience and we are committed to implementing progressive diversity talent management.


University of Greenwich

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the 成人VR视频 THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in 成人VR视频 subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi?

twitter.com/aaltouniversity?
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

Australia, Melbourne


	Full-time, Continuing position 
	Salary Academic Level B ($110,868 - $131,659) + 17% Superannuation and Flexible Working Arrangements
	Based at the Melbourne CBD campus


About the Role

The Lecturer is expected to contribute to the teaching and research efforts of the School, in disciplines related to their field of expertise. Specifically, the lecturer should have expertise across the theory and practice of User Experience (UX) and User Interface (UI) design. Knowledge of creative coding and development practices is also desirable, as is engagement with emerging areas of practice such as spatial user interface design. The Lecturer is responsible for carrying out teaching activities within undergraduate, Masters and/or Graduate Diploma programs and for maintaining and advancing their scholarly, research and/or professional capabilities.

The Lecturer is also expected to actively promote the program by establishing and maintaining memberships, links and partnerships with academic, industry and professional communities. The Lecturer is expected to work collaboratively and collegially with fellow academics within the teaching team, and update colleagues and students on developments in their subject area or specialisation. The Lecturer may be responsible for course coordination.

To be successful in this position, you'll have:


	Demonstrated ability to develop, coordinate and deliver high quality curriculum and program materials at undergraduate and/or post-graduate levels in the field of digital design with specialist knowledge/skills in User Experience (UX) and User Interface (UI) design, creative coding, and development using web stacks. Demonstrated capacity to work effectively and negotiate sensitively with students, especially on issues related to effective learning.
	Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new research initiatives, competitive research funding, and industry links.
	Demonstrated ability to supervise higher degree by research candidates.
	Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government.


Please view position description for further selection criteria

Qualifications

Mandatory: PhD in relevant field

Special Measures

RMIT is committed in driving progression towards gender equality and ensuring the diversity in our organisation is balanced at every level.

Section 12 of the Victorian Equal Opportunity Act permits the University to conduct female only recruitment in addressing the substantive imbalance of female representation in Science, Engineering and Business, IT and Logistics schools. The Racial Discrimination Act permits special measures that foster greater racial equality in the Australian community.

RMIT's School of Design will therefore only consider applications for this position from suitably qualified women, gender diverse or Indigenous candidates for this position.

RMIT University is committed to creating inclusive culture that recognises diversity of our staff. We understand that life is multi-dimensional, and you may experience a range of professional and personal circumstances that may affect your career. As such, we implemented 'Achievement Relative to Opportunity' (ARtO) principles within our recruitment-related policies and processes. You may decide to activate ARtO to address the impact of personal or work circumstances on the scope of your application.

For further information about ARtO - https://www.rmit.edu.au/careers/applying-with-us

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the School

The School of Design is a School comprised of the disciplines of Industrial Design, Digital Design and Communication Design.

The School builds on RMIT's leading national and international reputation in design education by creating a specific focus on emerging areas such as UX and service design, design strategy and virtual and augmented reality.

It comprises approximately 100 academic and 11 professional staff and over 3000 EFT undergraduate and postgraduate students with expectations of growth.

For more information visit www.rmit.edu.au/about/schools-colleges/design.

To Apply

Please submit your CV, covering letter and separate document addressing the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Jessica Bernardo (Senior Talent Acquisition Advisor) via email jessica.bernardo@rmit.edu.au.

Position Description - Lecturer - Digital Design (UX and UI)

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.

Holiday Closure Notice:
Please be advised that RMIT will be closed between Christmas and New Year. If you have any questions or issues related to this role during that time, please contact talentsupport@rmit.edu.au. We will get back to you after January 2nd.

Applications close on Sunday 9th February 2025 at 11.59pm. 

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


RMIT University

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University aspires to become a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at?https://www.ln.edu.hk/.

Applications are now invited for the following post:

Lecturer
Business Psychology Programme
Department of Psychology
(Post Ref.: 24/377)

The Department of Psychology (http://www.LN.edu.hk/psy/) builds on the strengths of faculty in the field of positive occupational health psychology, human-computer interactions, and cross-cultural psychology. In line with the liberal arts tradition of the University, the Department is also strongly committed to providing high quality teaching and a supportive learning environment to students.

General Requirements

The Business Psychology Programme is looking for a full-time instructor to teach undergraduate psychology courses. The appointee is expected to teach a broad range of subjects for the programme, including Negotiation, Judgement, and Decision Making in Organizations, Introduction to Consumer Psychology, Industrial and Organizational Psychology, Psychological Testing and Assessment, etc. The appointee will have to provide support to the operation of the Programme, including programme promotion and student recruitment.

Applicants should have a PhD Degree in relevant fields in Psychology. Relevant experience in teaching courses related to work and organizational psychology, research methods and statistics is highly preferred.

Appointment

The conditions of appointment will be competitive. Commencing salary will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on contract basis for up to two years.

Application Procedure?(online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references.?Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer.?Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

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