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Field
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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/Responsibilities: Designing and developing foundational statistical/AI/data-driven techniques for uncertainty quantification and visualization of complex, large-scale 2D/3D scientific data. Publishing research in
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children and young people to achieve goals that are most meaningful to them. About You You will have or be close to the completion of PhD/DPhil/DClin or other professional doctorate degree, together
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
neurodivergent children and young people to achieve goals that are most meaningful to them. About You You will have or be close to the completion of PhD/DPhil/DClin or other professional doctorate degree, together
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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cognitive neuroscience. You have documented experience in experimental research on learning or decision-making with knowledge of computational models (e.g., reinforcement learning). Good statistical skills
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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Requested start date: 01/10/2025 Contract type: Post Doctoral Education: Doctoral (PhD) Experience : 1-5 years You hold a doctoral degree (obtained less than 3 years ago) with a specialization in numerical
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resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work