Accra College of Medicine

(Ref. No.: FSC/BIO/FAAP/07/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 267 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The newly established Faculty of Science at the University of Macau (UM) invites applications for the position of Full/Associate/Assistant Professor in Computational and AI Biology. This recruitment supports the launch of the new Department of Biological Sciences, part of UM’s strategic initiative to strengthen its foundation in fundamental and applied sciences. As part of UM’s broader academic development plan, the university is undertaking a major structural expansion by restructuring and establishing five faculties in science and technology. Among them, the Faculty of Science will be formed based on relevant program of the current Faculty of Science and Technology (FST) and Faculty of Health Sciences (FHS). The new Faculty will include the Department of Biological Sciences, Department of Chemistry, Department of Physics, and Department of Mathematics. The establishment of the Department of Biological Sciences will enhance the faculty’s multidisciplinary ecosystem and foster cross-cutting collaborations in emerging areas of science and technology. The Department of Biological Sciences strives to excel in both fundamental and applied research in biological sciences, particularly in areas of omics, computational biology, AI-driven biology, and generative biology. We seek candidates with expertise in these areas, especially those whose research leverages computational and AI technologies to address fundamental biological questions. Successful candidates are expected to contribute to undergraduate and postgraduate teaching, curriculum development, and student mentorship, while establishing internationally competitive research programs. Qualifications Applicants should hold a PhD in disciplines closely related to the areas specified above, preferably with a strong background in biology. The successful candidate is expected to demonstrate a strong publication record, the ability to establish and lead an impactful research program addressing significant biological questions, a commitment to high-quality teaching at both undergraduate and postgraduate levels, and active contribution to the development and growth of the Department and Faculty. The selected candidate is expected to assume duty in Fall 2026 or Spring 2027. Remuneration A taxable annual remuneration starting from MOP1,250,200 (approximately USD154,350) for the position of Full Professor, MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% – 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/; Email: vacancy@um.edu.mo Tel: +853 8822 8589; Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**

Professor Ying Weng is seeking to recruit an Assistant Research Fellow in Artificial Intelligence (outsourced) to join the research project team in School of Computer Science at University of Nottingham Ningbo China. Your Responsibilities: The successful candidate will have specific responsibility for Professor Ying Weng’s research project in Artificial Intelligence. The person appointed will be expected to conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up their work for publication. The successful appointee will have the opportunity to use their initiative and creativity to develop research methods and extend their research portfolio. This may include opportunities to: undertake supervised research which may include planning, preparing, setting up, conducting and recording the outcome of experiments and fieldwork, developing questionnaires and conducting surveys within the framework of an agreed programme. Conduct literature and database searches and carry out analyses and/or tests and/or critical evaluations using specified and agreed techniques, approaches and/or models and document findings.. Contribute to the production of research reports and publications Prepare and present papers on research progress and outcomes to relevant groups including external bodies.. Continue to develop skills in and knowledge of research methods and techniques and contribute to the development of/or choice of techniques, models, methods, critiques and approaches. Communicate information and ideas to other staff and advise and assist other staff within area of expertise. Build relationships with internal and external contacts to develop knowledge and understanding and form relationships for future collaborations. Work in conjunction with others in the research team, achieve objectives and deadlines of the research project. Participate in training and staff development events, as trainer or trainee, as appropriate. Maintain appropriate professional development, expertise and awareness. Undertake other tasks and responsibilities as may reasonably be required. About You: Essential: Degree in relevant subject area. Excellent oral and written communication skills, including the ability to communicate with clarity on complex information. Developing research skills. Ability to contribute to method improvement. Analytical ability to facilitate conceptual thinking, innovation and creativity. Ability to build relationships and collaborate with others, internally and externally. Evidence of sufficient breadth or depth of research methodologies and techniques to work in research area. Desirable: Master’s Degree in relevant subject area. Demonstrates a desire to further develop skills and knowledge of research methods and techniques. Some practical experience of applying the specialist skills approaches and techniques required for the role. Evidence in use of research methodologies and techniques to work within research area About Us: Join a unique British University in China. 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 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science, in the Faculty of Science & Engineering, based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. Your Remuneration, Benefits and Support You will be offered a fixed term for 1 year with an outsourced contract effective from June 2026, or as soon as possible 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 wishing to apply for a vacancy should submit the following documents by email to: job@nottingham.edu.cn before 23:59 (Beijing Time) on the closing date. Please include: Vacancy reference number & title Application Form Cover Letter CV Enquiries If you are unable to apply online please contact the Human Resources Office via Email: Job@nottingham.edu.cn and quote the reference number of “184601”.

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5929 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: As university assistant and doctoral student, you work in the Spatial Sustainability and Digitalization Transformation Hub (SSDT Hub) led by Yvonne Franz who is also the director of study program at the department. The SSDT Hub conducts research on the nexus of spatial analysis and sustainability and digitalization transformation. It aims to advance academic knowledge and debates on spatial thinking and a critical understanding of spatialized social transformation processes. The SSDT Hub consists of all working groups at the Department of Geography and Regional Research and is excellently embedded in the international network of researchers and practitioners. As doctoral student, you will contribute to addressing relevant socio-spatial processes which include research on housing market transitions, caring communities as well as social innovation in neighborhood development. From a methodological perspective, you strive for comparative analyses focusing on urban environments. It is particularly important to us that every employee is highly motivated, enjoys being part of a team, and is open to challenges. Your future tasks: You actively participate in research, teaching & administration, which means: While your primary task will be in research, your work will also include teaching, administrative tasks and supporting the SSDT Hub in research-led as well as science-to-public activities. Development and completion of a dissertation on urban transformation processes from a comparative perspective. An interest in housing market transitions, caring communities as well as social innovation in neighbourhood development is an asset. Willingness to conduct fieldwork outside of Vienna. Participation in the preparation of research proposals and acquisition of third-party funding. Participation in scientific studies, publication projects, and presentations. Integration into the SSDT Hub and contribution to research and teaching group activities. Supervision of students and holding classes in accordance with wage agreement regulations. You will be part of the VISESS Doctoral School and we expect you to complete your dissertation agreement within 12-18 months. This is part of your personality: Passion for urban studies related topics and strong interest in developing innovative methodologies. You hold a master’s degree or diploma (or equivalent) in Geography (or a related and relevant discipline) with at least distinction. A background in urban geography, urban studies, urban sociology or political science is an asset. Very good knowledge of qualitative and/or quantitative social science research methods. Experience in research on Vienna is an asset. Profound skills in moderation and didactics. You are self-motivated, eager to grow, and capable of working both independently and in international team environments. You are able to manage project activities, for example, writing documentation, delivering project results on time, and presenting them to others. Good English language skills, both written and spoken, are required. A strong command of German is an asset. You are looking forward to new tasks, and you are willing to participate actively in scientific discourse and transformative teaching. What we offer: Work-life balance: Our employees enjoy flexible working hours in the office and remotely (“telework” / within Austria / upon agreement / up to a certain extent). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary corresponds to the collective agreement for employees of the universities according to § 48 VwGr. B1 basic level (paredoc): EUR 3,776.10 on a full-time basis (14x per year, amount as of 1 January 2026). Equal opportunities for all: We welcome every additional/new personality to the team! Employment duration: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension letter. Towards the end of the 3 years, an extension to 4 years might be possible in mutual agreement if the successful candidate has shown their abilities and if funds are available. It is that easy to apply: Motivation video (maximum length: 3 minutes) illustrating your passion for innovative urban studies. Use any common video format; please share the link to your video file in your scientific CV. Scientific curriculum vitae Two-page concept note outlining your ideas for the doctoral project on a current topic in urban studies connected to the nexus spatial analysis and sustainability and digitalization transformation. Include the following headings: Problem context, Conceptual approach, Objectives and research questions, Methodological approach, References. Degree certificates Your masters’ thesis or diploma studies thesis (in pdf format) Via our  job portal / Apply now - button Online interview: shortlisted candidates will be invited for an online interview on 05.08.2026 If you have any questions, please contact: Yvonne Franz yvonne.franz@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 07/27/2026 Prae Doc