91 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" Postgraduate positions in United Kingdom
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Midlands Graduate School Doctoral Training Partnership; | Nottingham, England | United Kingdom | 2 months ago
to explore how the history of the PVS resonates today. The successful candidate will be supervised by an experienced supervisory team comprising Professor Philippa Tomczak and Dr Thomas Guiney in the School
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Job Purpose You will assist the Centre’s Director, Professor Nicola McEwen, on completion of a project exploring devolution and intergovernmental relations. You will be part of a vibrant and driven
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. To learn more please visit: www.aston.ac.uk/ktp Aston University: You will work in a project team with Prof Mujib Rahman and Dr Daniel Nowakowski from Aston University and the Senior Management Team
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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the supervision of Professor Rebecca Knibb. For informal enquiries, please contact Professor Rebecca Knibb at r.knibb@aston.ac.uk What we offer: Aston University is a dynamic and vibrant campus located within
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Mar 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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research profile and were jointly recognised as the best modern university in the country for research, and the highest-ranked modern university in London in REF2021. The Role As the Post-Graduate Programme
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and training environment This position will be based in the research group of Prof. Armin Raznahan (W.A. Handley Professor in Psychiatry, Oxford Department of Psychiatry) which recently relocated
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be released for a secondment before you submit an application https://hr.admin.ox.ac.uk/secondments Only applications received online by 12.00 midday (BST) on Tuesday 7 April 2026 can be considered
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to enhance both accuracy and computational efficiency, enabling near real time water quality forecasting. This development will provide a more reliable, science-based foundation for environmental decision