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to communications that showcase UK expertise. Candidates should hold a PhD (or be close to completion) in a relevant discipline such as environmental or chemical engineering, sustainability, policy studies
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and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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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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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 15 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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typologies, supporting case study selection for fieldwork. Collaborate with healthcare partners, architects, and computational specialists to ensure robust interdisciplinary methodologies. Co-author high
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural