119 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Imperial College London
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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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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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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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Maintain and promote the highest standards of scientific integrity Actively participate in all aspects of the research programme of IN-CYPHER Report research activities both internally and externally Present
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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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international reputation and expertise in AI, emerging technologies or technology-based industrial sectors who has a strong understanding of the policy and economic dimensions of technological change and proven
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microbubbles of different shell and gas properties using lipid chemistry, and characterise them with DLS/ OM/ other techniques in collaboration with other postdocs (microfluidics, acoustics, etc.). This involves