108 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "SGS" Postdoctoral positions at University of Oxford
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SECURE project, a major multi-partner programme developing self adaptive gene therapies for neurological disease. This will involve (1) producing a single nuclei atlas of the substantia nigra and (2
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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between multiple organoid models. You will contribute intellectually to the development of the research and help shape the wider research programme. Responsibilities will also include helping with
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and