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computational modelling, whole-brain fMRI analyses, altered states of consciousness, and information-theoretic approaches. Experience in modelling neural dynamics of neuropsychological disorders, supervising
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practice and knowledge of meditation traditions. You have a proven track record in interdisciplinary research, combining computational modelling, whole-brain fMRI analyses, altered states of consciousness
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operational efficiency. Led by Professor Chris Holmes, the centre will initially focus on the following thematic areas: Decision analysis under model misspecification Uncertainty quantification around LLMs
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interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. The project combines human induced pluripotent stem cell (iPSC)- derived neuronal and
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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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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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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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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
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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