810 proof-checking-postdoc-computer-science-logic Fellowship positions in United Kingdom
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Health Records Research (EHR) Group for an experienced epidemiologist/statistician to join an NIHR-funded programme of research (The INTEGRATE programme) in collaboration with the National Institute
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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of second-generation Quantum Technology (QT) systems. Your successful application will mean you will join an established team of QT researchers. Within the team you will develop, refine and apply high
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: requirements that would enable the candidate to perform the job well. A completed or near-complete PhD in statistics, quantitative social science or related relevant discipline or equivalent work experience. E
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Computer Science Recent relevant research experience to include: Undertaking research in the area Artificial Intelligence, Software Engineering, Edge Computing, and/or Cybersecurity. Hands-on experience with machine
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of Masters Programmes and a substantial number of postgraduate research students. This is an exciting opportunity to join the Computational Biology Group headed by Professor Christine Orengo. The successful
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Postdoctoral Fellowship is a three-year fellowship for outstanding early career researchers in the humanities and social sciences. The scheme aims to help develop the award holder's curriculum vitae and boost
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privileges the role of scholarly evidence and engagement to mobilise action as opposed to perpetuating the divide between science and practice. We capitalise on the breadth of expertise within the University
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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, cross-disciplinary research and innovative teaching for future heritage leaders. From studying latest management policy to applying data science, analysing materials to using future studies, we train