33 coding-"https:"-"FEMTO-ST"-"CSIC"-"U" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Imperial College London
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Disclosure and Barring Service (DBS) check, at the appropriate level,will be required for the successful candidate. Further information about the DBS disclosure process can be found at http
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may be required. For more information about the Pears Cumbria School of Medicine, please visit https://cumbriamed.ac.uk If you require any further details on the role please contact: Dr Lesa Kearney
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. We're here to help. Closing date: Wednesday 11th March, 23:59 hours (Midnight GMT) An online information session will be held on Monday 16th February: please register using this link: https://imperial
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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to energy-efficient artificial intelligence based on temporal neural computation. The project investigates how spiking neural networks, temporal coding, and learned neural delays can enable accurate
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of research governance and a commitment to supporting high‑quality, compliant research activity. The ideal candidate will bring: Strong working knowledge of the Human Tissue Act, HTA Codes of Practice
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publicly available policy documents and datasets Designing and maintaining well-organised datasets that can be queried, analysed, and used in downstream applications Writing clear, reproducible code in R
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maintaining well-organised datasets that can be queried, analysed, and used in downstream applications Writing clear, reproducible code in R or Python to clean, process, and analyse data Supporting
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to support experiment planning, model selection, interpretation of results and coordination of complex experimental and modelling workflows. You will work hands-on with data, code and modelling tools
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to develop a model of health and healthcare provision (see www.tlomodel.org ). The post holder will lead the model analyses that address the three questions outlined above, including, model development, coding