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Field
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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information. About You Essential criteria PhD qualified in relevant subject area (neuroscience or related discipline) In depth understanding of metal biology and metal-related disease pathology Proven knowledge
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, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will also be required to contribute to scientific papers for publication and directly
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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, technicians, and PhD and project students. The researcher will develop landmarking approaches to capture key morphological parameters of trilobite eyes, such as area, shape, curvature, and predicted field
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examines gambling behaviour and ways to address gambling harm. Two types of data will be employed. The first is publicly available data from national surveys and from the Gambling Commission, such as the
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as well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role: We are seeking a highly motivated and experienced researcher, holding a PhD in
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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. Key responsibilities and duties: • Leading on study design, protocol and diet development. • Study ethical approval application. • Leading on participant recruitment, data