152 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Oxford in United Kingdom
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning and Power Systems to join the Energy and Power Group at the Department of Engineering Science (Osney). The post is
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/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Finance, Computer Science, or a closely related subject (preference will be given to those with a
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behavioural tests of memory and inference; and provide guidance to less experienced members of the research group including postdocs, research assistants, technicians, and PhD and project students. The post is
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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via
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As part of the Oxford Martin School Digital Pandemic Preparedness Programme and the Leverhulme Centre for Demographic Science (LCDS), Nuffield Department of Population Health (NDPH) are recruiting a
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The Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI) in the Department of Engineering Science at the University of Oxford is seeking exceptional candidates for a full-time
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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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with researchers from other disciplines within the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery modelling, re-certification, and redeployment, as
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Based at Oxford Population Health (Nuffield Department of Population Health), the Demographic Science Unit (DSU) is at the forefront of demographic research that aids society, government and
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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...