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Field
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progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies. Applicants will possess a relevant PhD or possess
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Investigator, Professor Glenn Roe, with day-to-day technical supervision from a Senior Research Software Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have
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collection of both quantitative and qualitative data online and in-situ including schools, educational environments, and public/commercial locations About You You will have or to be close to completion of PhD
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://aria.org.uk/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities
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expected to manage your own academic research and administrative activities, adapt existing and develop new scientific techniques and experimental protocols, and test hypotheses and analyse scientific data
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
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in analysing and interpreting complex genomic data, integrating computational and experimental findings to advance our understanding of gene function in the developing brain and support the development
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are also available. Applicants must have, or be about to obtain, a PhD in materials science, physics, or related discipline with experience in the design and conduct of experiments. Some experience with
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, biomonitoring, and toxicity data. Key responsibilities: Lead UCAM's contribution to Task 5.2, including modelling of respiratory deposition of indoor particulate matter and estimation of exposure to aerosol-bound
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the mechanisms underlying cognitive map failures in psychosis. You will plan and conduct experiments, analyse behavioural and neural data using computational methods to study planning and inference, contribute