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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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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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, 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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experience in the field of Cosmology, 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
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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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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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, 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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terrain and vegetation structural modelling. Relevant knowledge and experience in development of automated processing methods and workflows for environmental and geospatial data is also essential. About
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linguistic insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal