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Bristol Medical School is seeking a talented and enthusiastic postdoctoral scientist with expertise in machine learning. The successful candidate will either be an interdisciplinary scientist
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computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power computing, earth observation is desirable. They will have excellent programming skills (Python, C
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DNS resolver that is not secure. However, a third-party might be able to see what websites you visit or send you to an untrusted site. Learn more… Open Site in New Window It looks like your network
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines Award Summary 100% home fees covered, and a minimum tax-free annual living
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Turing University Network) and the CitAI Research Centre (which features academic staff with extensive expertise in machine learning for healthcare). They will also be able to exploit the power of Hyperion
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. This PhD project will take advantage of recent developments in machine learning methods, to enable computer modelling of the mechanical behaviour of titanium alloys to produce a machine learning-based
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Award summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate) Overview One of the main issues with machine learning algorithms is that
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for research posts at the Research Associate level, one in Generative AI for small molecules and materials, and one in multi-fidelity machine learning for Chemistry. Candidates are welcome to state
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materials classes, and for the development of new multi-fidelity machine learning approaches for active learning, Bayesian optimisation, and design of experiments to uncover reaction mechanisms. This is an