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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models
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to differentiate between healthy and accelerated brain aging; ii) create multiphysical constitutive models of cortical tissues degeneration during aging and injury; iii) utilize longitudinal medical image data
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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Applications are invited for a Postdoctoral Research Assistant position in supernova cosmology and time-domain astrophysics, working with data from Rubin Observatory, 4MOST, Euclid, and low-redshift
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prepare the work for publication. You will have a PhD/DPhil in health modelling, or related subject such as health economics or public health. You will need strong data analysis skills (such as in STATA and
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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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 join a project