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Field
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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apply the Helsinki Discrete Element Model (HiDEM) to simulations of brittle-elastic fracture, calving and retreat at Kangerlussuaq Gletsjer (KG), a large outlet glacier of the Greenland Ice Sheet. Working
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer
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, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You
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research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer
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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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or create an account to save a job. Send job Key Responsibilities: Project planning, scheduling and management. Literature review of technologies and commercial market scanning. Modelling, simulation and
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from