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on industrial datasets and align with drug-development questions A PhD and equivalent experience in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field
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Sustainable Law Programme and the London School of Economics and Political Science. A stimulating and supportive research environment, with access to a vibrant interdisciplinary community working on climate
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harness the convergence of AI with other frontier technologies — including quantum computing, engineering biology and advanced materials science. You will play a defining role in positioning Imperial
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, or even computational architectures. What we are looking for: Research Associate: hold a PhD (or equivalent) in Aerospace Engineering or a closely related discipline. Research Assistant: A first/masters
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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leverages its world-class science and technology base and international networks to anticipate and harness the convergence of AI with other frontier technologies — including quantum computing, engineering
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This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
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The Julia Anderson Training Programme provides individuals at an early stage of their career with hands-on experience working on projects or activities at the Institute of Global Health Innovation
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of Brain Sciences, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5
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-tier conferences and journals in AI as well as, ideally, AI and Law. A strong computer science background with a focus on AI with experience, including a proven publication track-record, in at least two