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Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological cancer? We have an exciting opportunity for a Senior
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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 possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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The Oxford-GSK Institute of Molecular & Computational Medicine has a new and exciting opportunity for a Postdoctoral Researcher, specialising in Neuronal Dysfunction in Alzheimer’s Disease, to join
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mechanism design. The project will involve close collaboration with project teams at Imperial College London, the Edinburgh Parallel Computing Centre (EPCC) and the Luxembourg Institute of Science and
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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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integrated THz technologies for THz time-domain spectroscopy and imaging. The project will unite novel nanowire THz technology from Oxford with unique custom-designed integrated circuits from project partners
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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 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...