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, Oxford, OX3 7DQ, and is offered on a full-time basis for a fixed term until 31 December 2027. About you You will hold a PhD in a biological/biomedical/life science or related field and possess extensive
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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researchers and industrial collaborators on the research project. About You The candidate should have a PhD (or close to completion) in a biological, biomedical or closely related science. Previous work
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predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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, interdisciplinary research agenda. Our work spans five interwoven streams – policing, law and policy, human behaviour, technology, and design – to produce collaborative outputs and interventions that inform national
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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biochemical reconstitution, electron cryomicroscopy (cryo-EM), advanced bacterial genetics, and phage biology to explore how cells and viruses control the three-dimensional structure of DNA. We investigate how