109 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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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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The Department of Civil and Environmental Engineering has an exciting new opportunity for an Assistant Professor in Subsurface Hydrology and is looking for a highly able, enthusiastic and well
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team, you will help ensure the smooth running of ECRI’s extensive programme of courses, events and tailored support, contributing to a vibrant and supportive research environment across the College. You
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logistics, communications and resources, working closely with internal teams, external partners, alumni and students to create high‑quality entrepreneurial experiences. Your responsibilities will include
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of large-scale datasets from international cohorts and biobanks, including PPMI, UK Biobank, and All of Us, with a focus on designing scalable and reproducible data pipelines. You will work with electronic
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team whose interdisciplinary research ranks as one of the global premier academic departments of surgery. You will be expected to lead an academic programme in Colorectal Surgery. The programme would be
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force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence Science focused
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Do you want to shape public health policy as a Research Associate in Food Policy? Join our team on the UPForesight Project, funded by NIHR Public Health Research Programme, to help reduce ultra
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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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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