80 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" Postdoctoral positions at University of Oxford
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The INEOS Oxford Institute for Antimicrobial Research (IOI) is recruiting a Postdoctoral Research Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance
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The INEOS Oxford Institute for Antimicrobial Research (IOI) is seeking a Postdoctoral Research Associate in Biochemistry to join an ambitious research programme focused on the development of new
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that this project will be a launchpad for additional research questions and Prof. Mosher will support the development of a future independent research program. The University of Oxford is committed to equal
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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and to solve major global challenges. About you You will hold a relevant PhD/DPhil in Cognitive Neuroscience, Psychology, or a related subject. Strong programming skills (Python and/or MATLAB) and the
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drawn from a variety of experimental approaches, refining research directions as appropriate. In addition to driving their own research programme, the appointee will contribute to the generation of new
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expertise in deep learning and representation learning applied to biological data, experience with large-scale multi-omics datasets (such as single-cell and proteomics), and strong programming skills in
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experiment will be an advantage. Candidates are expected to demonstrate the ability to communicate effectively, plan and execute research activities, and work in a team. Please direct enquiries about the role
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite