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Field
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Project Summary: This is a fully funded 4-year PhD position with the aim of developing new materials that can make decisions about their own movement in response to stimuli. Many biological
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BCAST Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for the project “Development of high performance and highly impurity-tolerant recycled Al alloys
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Infrared heating heats people and surfaces directly, without heating the air in between. Thus, it is claimed that radiant heating can provide thermal comfort at lower internal air temperatures, thereby saving home and industrial energy. Furthermore, rapid response rates could enable heating to...
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. We seek to enrol the most
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on previous interventions of pneumonia. Who is this PhD suitable for? This PhD is suitable for a hard-working researcher with an interest in respiratory infections and health economics. Essential skills: A
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of influence: The Ries lab is developing super-resolution microscopy methods for structural cell biology and is looking for a PhD student to join the team. About the Max Perutz Labs: The successful applicant
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candidates will have a PhD (or equivalent experience) in Computer Science, electrical engineering, or other related quantitative subject. They will have a strong understanding of computer science (hardware and
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem