13 proof-checking-postdoc-computer-science-logic PhD positions at University of Oxford in United Kingdom
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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studentship in Photobatteries from photocharging materials available from October 2026, to work under the supervision of Dr Filip Podjaski in the Department of Chemistry at the University of Oxford
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studentship in Synthetic andPhysical Organic Chemistry available from October 2026, to work under the supervision of Prof. Paul McGonigal and Dr Alyssa-Jennifer Avestro in the Department of Chemistry at
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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Following considerable success in the award of new research funding in the area of health economics, we are seeking to appoint a new researcher in health economics. You will join an expanding group
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science and medicine Experience in applying AI to large-scale healthcare datasets, contributing to grant proposals, or deploying AI tools in real-world applications would be highly valuable. The successful
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and
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Professor Morten Kringelbach, is seeking a recognised authority in their field as a Senior Researcher to join and lead their interdisciplinary program in contemplative science, artificial intelligence, and
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their application materials which of the three projects they are most interested in working on. About you You are working toward a doctorate in a social science discipline (or a relevant data science field), have
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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health