133 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Imperial College London
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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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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learn about some of our projects at the following link: https://www.imperial.ac.uk/research-and-innovation/support-for-staff/imperial-projects/project-successes/ You will work closely with the Head of
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. The Department of Computing is a leading department of Computer Science in the UK and the world and has consistently been awarded the highest research rating. In the 2021 REF assessment, the Department claimed
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retention across the Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network). DeZi is a new Wellcome Trust-funded programme, delivered with the World Health Organization, national
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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
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to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation modelling to address missing data and uneven data collection across different centres. Second
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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