137 Computer Science research jobs at University of Oxford in ireland in United Kingdom
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The Kennedy Institute are seeking a Postdoctoral Researcher with experience in bioinformatics/computational biology and a strong interest in human genetics and the microbiome. You will be a member
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genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include
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members of the research team including research assistants and PhD students. This specific project and the wider programme of work are both developing and applying innovative complexity economics and policy
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until 31 March 2025. The successful candidate will join the Scientific Computing Group in Engineering Science, University of Oxford. The group, led by Prof Wes Armour, focuses on understanding and
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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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computing and simulation relevant to setting a roadmap for ongoing experiments, as well as direct collaboration with experimental teams”. We are advertising four positions, in the areas of: - Adiabatic
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About the role Applications are invited for two Postdoctoral Research Associate positions in quantum molecular dynamics and advanced computational techniques for novel time-resolved photoelectron
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computational biology. This post provides an opportunity to join the newly established multidisciplinary Oxford-GSK Institute of Molecular and Computational Medicine (IMCM) operating within Nuffield Department
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. The position is part of a newly awarded Cancer Research UK Discovery Research Programme, focused on deciphering tissue-specific mechanisms that impede the anti-tumour T cell response in colorectal cancer
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and implement new quantum electrodynamic corrections in the computational framework of the GRASP code. The successful candidate will also be expected to assess the accuracy of the modelling by