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high-power laser plasma interaction and related areas. Demonstrate significant experience in experimental research using high-power lasers, Experience in using computer codes for data analysis
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opportunity to join the group as part of an Innovate UK funded project (and thus wider consortium of academic and industrial partners), whose central focus is development of a RISC-V based micro-processor
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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improve forensic science methodologies and explore and minimise harms on human health and public safety. About The Role The Research Assistant will support the work of the Preventable Deaths Tracker (https
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for SHM and post processing techniques e.g. computer vision Experience in NLFEA of concrete structures Impact loading To be successful at shortlisting stage, please ensure you clearly evidence in your
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: Computer Sciences / College of Engineering, Design and Physical Sciences Location: Brunel University of London, Uxbridge Campus Salary: Grade R1 from: £41,292 to £43,572 per annum inclusive of London
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discipline with socio-technical dimensions such as Computer Supported Cooperative work and Human Computer Interaction, software sustainability and computational sciences. Significant relevant research