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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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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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sciences or a related field would be beneficial, especially computational social science, behavioural science, communications, statistics, economics, computer science, finance, or management. Experience
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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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for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science
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We are seeking a full-time PDRA to join Prof. Dong (Lilly) Liu’s research group at the Department of Engineering Science (Central Oxford). The post is funded by the EPSRC project: Understanding
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Technology. Polymer; Solid Mechanics; Mechanics of Materials; Computational Mechanics; Statistical Mechanics
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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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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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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