129 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "Computer Vision Center" positions at Imperial College London
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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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journals Knowledge of hydrological data collection, curation, and analysis Ability to conduct a detailed review of recent literature Advanced computer skills including scientific data analysis (e.g., Python
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enabling them to achieve the best outcomes possible, then this role may be for you. You will be working with young people aged 14–19 who are engaged with our Maker Challenge programme within the Dangoor
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experiences. As a Placement and Internship Adviser, you will combine relationship management, student support, operational planning and programme delivery to ensure these opportunities are high-quality, well
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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 plan and execute experiments independently. The role requires excellent organisational and time-management skills, and the capacity to work collaboratively with researchers while communicating
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of international standing who have led large, multidisciplinary research programmes/centres with demonstrable translational impact. They will bring experience in NHS–university partnerships, stewardship
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anatomy of musculoskeletal systems; plan and conduct muscle physiological characterisation; analyse the data within an existing theoretical framework to determine whether gearing is optimal. You will also
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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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