803 proof-checking-postdoc-computer-science-logic Fellowship positions in United Kingdom
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of the project. About You: A strong academic background, with fashion manufacturing expertise and interests in robotics, engineering, and related fields, A track record (or clear potential) of research excellence
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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Birkbeck, University of London, is seeking a fixed-term Research Assistant to join the School of Social Sciences this Summer 2025. This is an exciting opportunity to work as a part-time Research
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Academic Fellowship scheme for 20 outstanding researchers focused on AI development and application across all disciplines, including health & biosciences, humanities, social & behavioural sciences, physical
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in the first instance, but additional funding is currently being applied to extend the post for ext ra 2 years. About you The postholder will have a PhD/DPhil in life sciences (molecular biology
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their own research programme as well as support in the delivery of AI upskilling and expertise transfer to government. What you would be doing The objectives for the role are: to deliver ground-breaking
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, driving exciting research that enhances our existing strengths, and we will support you in the development of an independent and aspirational research programme. You will already appreciate that training
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) the fern Ceratopteris richardii . This position will be based in the Plant Science & Food Security theme within the School of Biosciences on the University of Birmingham Edgbaston Campus. The School is part
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advised that a PhD isn't mandatory for this post First degree in area of specialism (typically but not exclusively economic history, modern history, economics, economic geography) and normally, a higher
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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research