107 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at Imperial College London in United Kingdom
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direct an original and impacting research programme in Geotechnical Engineering, leading your own research projects and developing collaborative initiatives with other members of the Department and College
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator
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We are seeking an ICT based Technical Delivery Manager, working as part of Research Computing Services at Imperial to help us deliver the forthcoming Research Excellence Framework 2029 (REF 2029
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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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The Department of Metabolism, Digestion and Reproduction invites applications for an Associate Professor in Cell and Molecular Biology. You will work closely with academic and research staff within
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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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The Costa Laboratory (https://profiles.imperial.ac.uk/t.costa ), in the Department of Life Sciences (https://www.imperial.ac.uk/life-sciences ), Imperial College London, invites applications for a
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research programme focusing on evidence generation to further methodology research and to enable the design and development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR HRC IVD
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to conserve hospital resources. You will work with a team of AI experts and cardiologists to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working