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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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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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Researcher to join the Translation Biology Research Group led by Mr Alex Gordon-Weeks and Professor Kerry Fisher. The group is focussed on understanding the human tumour microenvironment (TME) and its role in
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(first supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine
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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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fluorescence light microscopy, and electron cryo-microscopy (cryoEM). This position offers an exciting opportunity to contribute to cutting-edge research in biophysical modelling and analysis in a microbiology
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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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INTERNAL APPLICANTS ONLY Faculty of Humanities, Arts and Social Sciences (HASS) This part time (0.5FTE) post is available from 1st March 2026 to 1st January 2028 in the Centre for Rural Policy
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer