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The Oxford-GSK Institute of Molecular & Computational Medicine has a new and exciting opportunity for a Postdoctoral Researcher, specialising in Neuronal Dysfunction in Alzheimer’s Disease, to join
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We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum duration of ten months (10 months), and is full-time. Reporting to Prof. Gesine Reinert, the post...
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in cilia. Transport within cilia, the cell’s signalling and sensory antennae, is central to human biology. It enables these cell-surface organelles to assemble and dynamically change their proteome in
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Sukin’s research group, with responsibility for carrying out a programme of research examining the effects of political polarisation on nuclear strategy and policy. The successful applicant will work
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in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. A background and/or interest in mathematics or computer science would be
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Technology. Polymer; Solid Mechanics; Mechanics of Materials; Computational Mechanics; Statistical Mechanics
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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TWO exciting opportunities to be part of the multimillion Ineos-Oxford Institute (IOI) for AMR Research within the Department of Biology, University of Oxford. Joining the IOI, and Sheppard and
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a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
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The post will be based within the Oxford Centre for Functional MRI of the Brain (FMRIB), reporting to Professor Saad Jbabdi. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This project involves development of machine learning methods for...