Maqsut Narikbayev University

An exciting opportunity has arisen to join the team working to deliver the Professional Services Development Programme. This major strategic programme aims to reframe the position of Professional Services within the University. We are seeking three highly motivated and proactive Programme Delivery Managers, who will play a key role driving forward delivery across the programme’s workstreams. About the Role As Programme Delivery Manager you will be at the heart of the Professional Services Development Programme, support the effective and coordinated delivery of a wide range of activities and work packages. Working closely with the Programme Lead, Programme Manager, workstream leads and stakeholders across the University, you will help ensure plans are translated into tangible, high quality outcomes. You will take ownership of delivery in key areas, maintaining momentum and ensuring timely implementation. This is a high-impact role where you will help embed structured delivery approaches, promote best practice and support the successful delivery of a complex transformation programme. About You You will have demonstrable experience of delivering projects, defined work packages or change initiatives in a complex environment, with strong organisational skills and the ability to manage multiple priorities. You will be proactive, solutions-focused and comfortable using your judgement to navigate delivery challenges. You will bring strong stakeholder engagement skills, with the ability to work collaboratively across organisational boundaries, influence others and maintain momentum. For an informal discussion about this post, please contact Abi Clark, Senior Executive Officer (Professional Services) at A.Marsh@soton.ac.uk.

University of Nottingham Ningbo China is seeking to recruit an HR Officer/Assistant, HR Business Partner Team The HR Officer/Assistant provides operational and administrative support across the full recruitment lifecycle and visa service process for assigned faculties, schools and departments, ensuring services are delivered efficiently, professionally and in compliance with University policies and relevant Chinese regulatory requirements. The HR Officer/Assistant also contributes to HR projects and service improvement initiatives, including process optimisation, digital workflow enhancement, data analysis and implementation support. In addition, the HR Officer/Assistant supports the Talent Scheme Senior Manager in the planning, coordination and administration of talent scheme applications, working closely with applicants, internal stakeholders, external experts and relevant authorities to ensure timely and high-quality submissions. The role will also support the effective administration and compliance management of postdoctoral research fellows and related research station operations. The appointment level will be determined based on the successful applicant’s qualifications, skills and relevant experience. Your Responsibility You will be expected: Execute operational activities across the full recruitment lifecycle for assigned positions, including job posting, candidate sourcing and screening coordination, interview arrangement, offer administration and onboarding support. Support work visa and employment-related administration for international staff, including documentation, application coordination, progress tracking and record maintenance. Prepare recruitment and visa-related data, reports and basic metrics to support operational monitoring and service improvement. Support the planning, coordination and implementation of talent scheme work plans and application processes, maintaining accurate records, and preparing data and reports as required and liaise with applicants, internal stakeholders, external experts/vendors and relevant authorities to support timely and high-quality submissions. Support the administration and operation of postdoctoral research stations at UNNC and its subsidiaries, including recruitment coordination, records management, compliance follow-up and reporting. Support HR service improvement initiatives, including process review, SOP enhancement, workflow optimisation and HR system-related activities. Prepare project updates, action trackers, data summaries and basic analysis to support project monitoring and decision-making. Monitor relevant policy, regulatory and operational updates, and support HR training, workshops, information sessions and other HR operational activities as required. About You You should have a bachelor’s degree in Human Resources, Business Administration, Public Administration, Education, Management or other relevant disciplines. You should have relevant experience in administration, HR operations, recruitment coordination, visa/employment administration, project coordination or other professional service support. You should have strong organisational and coordination skills, with the ability to manage multiple tasks, follow up on deadlines and maintain attention to detail. You should have good written and verbal communication skills in both English and Mandarin, with the ability to work effectively with internal and external stakeholders. You should have good analytical and problem-solving skills, with the ability to handle operational issues in a structured and professional manner; 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 10,000 in 22 years. The University of Nottingham Ningbo, China, a pioneer in Sino-foreign tertiary education, is rapidly expanding. It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy.  Your Remuneration, Benefits and Support The post will be offered on a fixed term contract for 3 years and a probation of 6 months with University of Nottingham Ningbo China. 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 14 July 2026 23:59 Beijing Time at: https://jobs.nottingham.edu.cn/job/184564/  Only on-line applications made at (http://job.nottingham.edu.cn ) will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China. Informal enquiries may be addressed via email: job@nottingham.edu.cn. If you are unable to apply on-line please contact the Human Resources Office, Tel: 86 574 88180000 (ext. 6323). Equality and Diversity University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits, abilities and potential, regardless of gender, race, colour, nationality, ethnic or national origin, age*, socio-economic background, disability, religious or political beliefs, trade union membership, family circumstances, sexual orientation or other irrelevant distinction.

The Faculty of Science and the Finnish Institute for Molecular Medicine Finland (FIMM), HiLIFE at the University of Helsinki invite applications for a joint (50%:50%) position as RESEARCH FELLOW (UNIVERSITY RESEARCHER) IN AI FOR POPULATION HEALTH AND GENOMICS for a fixed-term appointment of maximum 4 years. The starting date is as agreed, ideally between September and December 2026. We seek an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We primarily seek to appoint at the Research Fellow level, requiring postdoctoral experience and emerging record of independent research, but will also consider candidates to be appointed as Postdoctoral Researchers. The research action Sustainable Wellbeing Across Lifespan (SWAN) (https://www.swan-helsinkiuni.net/) conducts cutting-edge research to promote health span by identifying individual risks and susceptibilities, aiming to clarify mechanisms of degeneration across the lifespan and exploring new approaches to detecting, monitoring and treating remodeled metabolism associated with ageing. The successful candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular data, causal representation learning, in-context learning and amortized inference for healthcare decision-making, and AI-assisted scientific discovery workflows. The work will be done together with the Ganna Lab (https://www.dsgelab.org/) at FIMM and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning; groups of Acerbi and Klami) at the Department of Computer Science, aligning with concurrent projects developing foundation models for healthcare. The groups are active members of the ELLIS Institute Finland (https://www.ellisinstitute.fi/), providing extensive opportunities for collaboration with leading researchers in artificial intelligence across Finland and Europe. The position offers access to globally unique research resources, including nationwide longitudinal health records from Finland covering more than five billion healthcare events, FinnGen with genomic data from over 500,000 participants, and extensive multi-omics datasets including proteomics and single-cell transcriptomics. Researchers also benefit from access to world-class computing infrastructure through CSC and LUMI, one of Europe's most powerful supercomputers. RESPONSIBILITIES The appointed researcher is expected to pursue independent research on methodological innovation in developing and applying AI methods within the SWAN research action, in collaboration with existing research groups at the university, and will have the opportunity to be part of ELLIS Institute Finland activities. In addition, the appointed researcher participates in the joint activity of the university-wide AI Research Lab advancing the use of AI in scientific research, together with other researchers working in the intersection of AI and other scientific disciplines. The daily working activities of the appointed researcher will be split between the Faculty of Science and FIMM. Opportunities for contribution to teaching (up to 5-10% of annual working time) will be provided. QUALIFICATIONS An ideal applicant has: A doctoral degree in a suitable field Scientific competence in developing and/or applying artificial intelligence methods with proven publication record in scientific venues in the field. We expect publication record in top-tier venues in AI and machine learning (e.g. NeurIPS, ICML, ICLR, or similar) and/or publications with clear AI contributions in leading biomedical journals (e.g. Nature Genetics, Nature Medicine, Nature Machine Intelligence or similar). Applicants are expected to describe their research interests and their relationship to the scope and topic of the position, and to specify how they envision collaboration with existing research groups at the University of Helsinki. A vision of the role of AI in the application domain and an outline of planned research relating specifically to the use of AI in scientific research, for instance development of AI methods for commonly recurring tasks in the field, human-AI collaboration in scientific research, or development of open-source tools for AI4Science. To qualify for the Research Fellow (University Researcher) position, the candidate needs to additionally present Demonstration of additional scholarly activity, such as evidence of independent research activity, the ability to lead a research group, and experience in the acquisition of research funding. Evidence of public engagement WHAT WE OFFER University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The appointee’s gross annual salary will, in practice, range from €55,000 to €65,000, depending on their previous experience and qualifications. Standard Finnish pension benefits and occupational health care are provided for university employees. Further information can be obtained online. The employment contract will include a probationary period of six months. Finland is a member of the European Union, has high quality free schooling (also in English) and generous family benefits and healthcare. Finland was recently ranked as the best country in the world for expat families, and Helsinki in the world’s top ten most livable cities. Finland and the Helsinki region feature leading research and innovation facilities, clean environment, affordable accommodation, and excellent international, national, and local transport connections. For more information about working at the University of Helsinki and living in Finland, please see the website. The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff are supported in relocating to Finland. HOW TO APPLY The University of Helsinki is committed to promoting equality and preventing discrimination in all its operations. We welcome applicants from a variety of genders, linguistic and cultural backgrounds, and minorities. Please submit your application, together with the required attachments, through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login” (“Työntekijän kirjautuminen”). The closing date for applications is 31 July 2026 (at 23:59 UTC + 3). The following documents in English are required and must be included in the application: A curriculum vitae List of publications An accompanying 2–4-page document addressing the qualification points 1-5 above and specifying which position you apply to (Research Fellow or Postdoctoral Researcher). The names, positions and contact details of two referees Other attachments, such as letters of recommendation or other certificates, are not required at this point. FURTHER INFORMATION Further information about the positions and the research project may be obtained from Professor Arto Klami at the Faculty of Science (arto.klami@helsinki.fi), and from Professor Andrea Ganna at FIMM (andrea.ganna@helsinki.fi). Further information about the recruitment process can be obtained from recruitment@helsinki.fi.