22 assistant-professor-computer-science-and-data Postdoctoral positions at University of Oxford
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. The postdoctoral researcher will join the Department of Engineering Science at the Old Road Campus Research Building, with Professor Jens Rittscher as line manager. The role involves coordinating work with Simon
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We are seeking a Postdoctoral Research Assistant to join a new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in medicine. With a cross-departmental
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computational cognitive neuroscience/psychology, computer science, or relevant quantitative field, and a demonstrably strong track record of scientific publication and novel idea generation. You will have strong
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We are seeking a full-time Postdoctoral Research Assistant to join the research group of Professor Jens Rittscher at the Department of Engineering Science, Institute of Biomedical Engineering
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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
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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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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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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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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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on academic research that relies extensively on survey data and work with interview data, historical case studies, cross-national and sub-national data, and the literature related to this programme of research