126 Computer-Science-"https:" "https:" "https:" Fellowship positions in United Kingdom
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 18 days ago
1 Sep 2026 Job Information Organisation/Company University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences Research Field Biological sciences
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About the job: This role will be positioned in the Administrative Data Research Centre Northern Ireland (ADRC NI), an ESRC research programme led by Dr Aideen Maguire (Director). ADRC NI is part of
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from mathematics, computer science, engineering, medical health sciences and physics. The project is a collaboration between the Universities of Nottingham, Manchester, Makerere (Uganda), Nottingham
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clinical and research work. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https
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proving, funded by the Advanced Research + Invention Agency (ARIA): https://agentic-sel4.github.io/ The project, joint with Andrei Popescu at the University of Sheffield and Toby Murray at the University
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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This 48-month Research Fellow post is funded by the Administrative Data Research Centre Northern Ireland (ADRC NI) funded research programme, led by Dr Aideen Maguire (Director), which is part of
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particular, you will develop new computational and methodological approaches for advanced behavioural modelling using large-scale datasets. The successful candidate will have the opportunity to develop new