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computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be awarded you will be
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cardiometabolic research. About You Applicants should hold a PhD (or be close to completion) in cardiovascular physiology, experimental cardiology, biomedical science, metabolism, or a related discipline. The
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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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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. The reusable tools generated by the postholder will be of direct value to the wider neurodegeneration research community. About You You will hold, or be close to completing, a PhD in bioinformatics
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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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chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be
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://jordibures.wixsite.com/buresgroup The successful candidate will have a PhD in chemistry, with a proven track record in catalysis, organic and organometallic chemistry, and mechanistic investigation. The position is full
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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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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