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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage as well as experience in the analysis or modelling of LSS data, including (but not limited to) galaxy clustering and CMB
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Oxford Martin Programme on Decarceration, and the Forensic Psychiatry research group at the Department of Psychiatry working independently to carry out risk prediction modelling and epidemiology related
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, and conducting large-scale quantitative analyses of semantic change. You will work closely with Latin linguists to integrate linguistic insights into computational models and help build open-source
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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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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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Generative Modelling to apply and develop cutting-edge deep generative probabilistic models including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and
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Oxford Martin Programme on Decarceration, and the Forensic Psychiatry research group at the Department of Psychiatry working independently to carry out risk prediction modelling and epidemiology related
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, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and
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turbomachinery for improved efficiency and compactness. This position would suit a researcher with a strong background in Computational Fluid Dynamics (CFD) and an interest in Chemistry modelling and Machine