135 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Imperial College London
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and spinouts with deep technology-based solutions for climate mitigation and adaptation. Encompassing hardware, software and hybrid solutions, the project supports climate-focused businesses across a
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-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
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to continue your career at a world-leading institution and be part of our mission to use science for humanity. Benefit from a sector-leading salary and remuneration package (including 41 days’ annual and
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, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School. Additionally, you will play a key role in
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, research centres and capital projects, and delivers a strong engagement programme for alumni. Alumni of Imperial play a crucial role in supporting the university’s long‑term success, benefiting from a global
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College London is a world-leading university for science, technology, engineering, medicine and business (STEMB), where scientific imagination leads to world-changing impact. Imperial manages one
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to collaborative project planning Secondments at GSK to test models on industrial datasets and align with drug-development questions A PhD and equivalent experience in Biomedical Engineering, Computational Imaging
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Are you a strategic HR leader ready to lead the partnering team within the Faculty of Natural Sciences at a world-class university? As Head of People Partnering, you'll lead a talented team and work
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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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with a multidisciplinary team, across assay design, small molecule screens and chemical biology and microbiology (Prof Ed Tate, Prof Gad Frankel), ‘omics technologies (Dr Matt Child), data science (Dr