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position initially and is expected to be held full time and in person. You will join the CNNP Lab, which is well supported with recent funding of over £3M. The lab is based in the School of Computing
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-Trust funded research project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments. RELMED is a unique opportunity to
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from our previous and ongoing clinical research studies, as well as access to our high-performance computing clusters. This post is fixed term for a period of 3 years. For informal enquiries contact: Dr
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and consortium to share information and data to optimise and validate models to ensure high efficiency and performance of the overall integrated system • Manufacture membrane electrode assemblies
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team of researchers across five institutes working on 5 year programme grant Ocean Refuel. Ocean Renewable Energy Fuels project will explore ways of converting ocean energy into fuels including hydrogen
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the assay and development of the bioinformatic pipelines. In addition, they will lead on the processing of samples, transfer of samples/data to/from the commercial company and performing independent
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an integrated programme of medicinal chemistry and further screening, PTSuppress will optimise these lead compounds and repurpose already approved drugs. Ultimately, we will validate the best compounds/drugs
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within a Unix/Linux HPC or cloud computing environment Proficiency in programming (e.g. using Linux/Python and R), command-line applications, and programming standards such as version control High level
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flood modelling and urban infrastructure teams to integrate ML outputs into broader flood risk assessment frameworks Continuously evaluate model performance and improve its accuracy and efficiency
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medium or high-throughput assays for assaying functional properties, without the need to use ‘full’ product formulations of shampoos conditioners etcetera. Survey existing libraries of extracted and