140 genetic-algorithm-computer-"Prof" Postdoctoral positions at University of Oxford in United Kingdom
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the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking to appoint a talented Postdoctoral Research Associate to join the group of Prof Ben Berks to study the bacterial Type 9
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The post-holder will join a team of investigators working on the NERC-funded Large Grant ‘Ex-X’ Expecting the Unexpected. Understanding ‘dangerous’ volcanic transitions’, led by Prof. Jenni Barclay
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annum. This is a full time, fixed term position for 2 years. We are looking a passionate Postdoctoral Research Assistant to join the group of Prof Tal Arnon at the Kennedy Institute, the University
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We are seeking a full-time PDRA to join Prof. Dong (Lilly) Liu’s research group at the Department of Engineering Science (Central Oxford). The post is funded by the EPSRC project: Understanding
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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, to work on the EPSRC funded project “Prototyping a new green ammonia synthesis process using water, air and concentrated solar energy” in collaboration with Prof. Laura Torrente-Murciano, at the University
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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A one-year Research Assistant position is available in Prof Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study ADP-ribosylation signalling in DNA
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. The closing date for applications is 12.00 noon on Thursday 31 July 2025 Informal enquiries may be addressed to Prof Patrick Salter: patrick.salter@eng.ox.ac.uk Further information can be found at http
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods