124 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Imperial College London in United Kingdom
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original
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crystallographic analysis of recorded time resolved data sets. You will be expected to carry out research programmes in ultrafast X-ray crystallography, undertake project management and/or supervise multi
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programme primarily in anatomy, emerging preservation models of clinical education. An interest in fostering interdisciplinary research would be particularly welcome, especially where this complements other
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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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of contact for all stakeholders, and will be central in incubating a collaborative and collegial multidisciplinary culture. You will have the ability to manage a varied and busy programme of activities with 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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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