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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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There is a great deal of interest in the nature of QCD, the strong interaction force of particle physics. It has a fascinating personality - in all but the most exotic situations, it confines quarks
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offering one funded PhD position investigating how LLMs represent and process linguistic knowledge, drawing on tools from computer science, linguistics, and neuroscience. The aim is to build new
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student with an aerospace, mechanical engineering, or physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be
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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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Mobility allowance - £5,507 per annum Family allowance - £6,058 per annum (if applicable) Full-time: 35 hours per week Fixed-term: 3 Years The Opportunity: This PhD position on Physical Properties
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our
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satellites, with the potential for travel to test instrumentation in ideal locations. Additionally, the simulation work will focus on developing computational models to validate instrumentation and optimising
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home