1,183 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in United Kingdom
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the ability to act on their own initiative, excellent quantitative skills, including programming (e.g., Matlab and R) for the design and analysis of experiments. Experience in using computational modelling
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, computational mechanics). Evidence of scientific programming and good software/reproducibility practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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. Lead and support high-quality publications to disseminate the applied research outcomes. ii. Plan, organize, and carry out experiments and trials in the labs to achieve the objectives iii. Manage and
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of tuberculosis vaccines in Oxford and plan, direct and undertake clinical delivery of research work in both tuberculosis and SARS-CoV-2 studies. You will be responsible for the screening, vaccination and challenge
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Trust-funded programme grant. This will involve in-depth biochemical, molecular, genetic and cell biological analysis of the D-arabinanases, leading to the discovery of mycobacterial interactions with
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in regulating phage integration and excision. You will be responsible for the planning, design, and execution of the research programme, including preparing project reports and writing draft academic
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research on the science, engineering and management of water, and we have been driving innovation for over 40 years. You will contribute a major UKRI-funded programme, tackling one of the most urgent global
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or statistics. They will bring strong analytical and programming skills, with experience in techniques such as algorithmic auditing, explainable AI (XAI), model evaluation, or reverse engineering of predictive
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/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility practice (e.g., Python/MATLAB/C++ and/or established modelling platforms