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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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a researcher to join the vibrant and innovative Research Group on Digital Ethics and Defence Technologies. The position is full-time and fixed term for two years with the aim to start as soon as
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the range of £39,424 -£47,779 per annum (inclusive of Oxford weighting). This is a full time, fixed term position for 3 years. We are seeking a highly motivated postdoctoral researcher to lead an integrative
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, economics, environmental science). You will bring expertise in food systems modelling, supported by a strong technical background that may span areas such as data science, input–output analysis, applied
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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relevant skills acquired and will also be determined by the funding available. About you You should hold, or be near completion of, a PhD/DPhil in Molecular Microbiology, Biochemistry, Biophysics or related
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a 3-year, fixed-term position, funded by a research grant from the UK Engineering and Physical Sciences Research Council. The starting date of this position is flexible with an earliest start date
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to meet deadlines are essential. It is essential that you hold a PhD/DPhil (or close to completion) in immunology or a related field, alongside hands-on expertise in in vitro functional immunological assays
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in