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point of this project is the opportunity for the successful applicant to work within the Centre for Computational Engineering Sciences, a leading hub for research and education in computational methods
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an interest in data science, computational chemistry or related areas. A degree in Chemical Engineering, Chemistry, Computer Science, Mathematics or other engineering/science disciplines with significant
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engineering related discipline. The project is suitable for Engineering or Physics graduates, with a strong background in Fluid Mechanics, Heat Transfer and preferably with experience in computational modelling
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water. The successful candidate will work collaboratively within a dynamic team, utilizing cutting-edge technology to create user-friendly sensors for deployment by citizen scientists. The project will
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University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3-year PhD program in partnership with the UK Atomic Energy
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. Familiarity with data analysis and statistical methods relevant to biological sciences. Basic knowledge or keen interest in bioinformatics, computational biology, or data science approaches. Experience
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analysis. Qualifications A high-grade undergraduate degree (first class or upper second) in Computer Science or MSc in a related field Skills Knowledge of software development and programming Good
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An opportunity to apply for a funded full-time PhD in the College of Arts, Technology and Environment, UWE Bristol. The studentship will be funded by the Computer Science Research Centre: Ref 2526
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-supervised by Dr John Low in the Energy Innovation Centre in the Warwick Manufacturing Group (WMG), and Prof. Richard Walton in the Department of Chemistry (Materials and Analytical Science) in collaboration
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Brisbane 2032 and help shape the future of Para sport science and practice. Based at Loughborough University, a world leader in Para sport science, ParaFit 2032 builds on the success of the world-leading PHC