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) (Apprentice and non apprentice) training programme across our partnerships of regional health care employers. This Clinical Educator post works with tACPs within their clinical placement settings and on study
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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, computer science, neuroscience) to tackle this novel and exciting opportunity. Training will be provided in specific analysis techniques and the successful applicant will acquire advanced computational and
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demand-driven scenarios, and the experimental validation of the control strategies at laboratory scale. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied
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Computational analysis of the flow through aerofoil cascades School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof
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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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ambitious project. You should hold, or be close to completing, a PhD in a relevant field such as applied or pure mathematics, physics, control engineering, or computer science. You will join both the SAMS