141 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Imperial College London
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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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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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technologies — including quantum computing, engineering biology and advanced materials science. A sector-leading salary and remuneration package (including 41 days’ annual leave and generous pension schemes
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such as Pytorch / JAX. Domain knowledge in proteins / molecules and familiarity with our software, TopoX, is desirable A PhD in computer science, mathematics or equivalent experience. Please see job
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Technological University (NTU) are seeking a Research Fellow or Engineer to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected
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Imperial College London and Nanyang Technological University (NTU) are seeking a Research Fellow to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme
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Technological University (NTU) are seeking Research Engineers to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices
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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
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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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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