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complex, involving multiple partners, working on innovative technology to provide practical solutions to industrial problems which may be in the defence sector. As a member of the multi-functional project
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in Physics, or in related fields such as Applied Mathematics, Quantitative Biology, Computer Science, or Data Science. If you’re interested in this research but unsure about your qualifications, feel
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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countries and beyond. Training and Career Development As a PhD student, you will join the Faculty of Science Graduate School, which provides a comprehensive programme of professional skills training tailored
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that you reference the application criteria in the application statement when you apply. Essential criteria A PhD in Sociology, Media, Cultural Studies, or other social science fields encompassing digital
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Proven experience in portfolio/programme management with demonstrated team leadership, and successful implementation of portfolio
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Next-generation low-carbon cement wasteforms for safe disposal of radioactive waste School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded Students Worldwide
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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University of Sheffield, School of Mathematical and Physical Sciences Position ID: MPS -TT_IRF [#26555] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Sheffield