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and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The field of environmental data analysis has seen
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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. This PhD project is set within the Fusion Engineering CDT at The University of Sheffield. Students will receive a 3-month training programme in fusion engineering at the start of the course, delivered across
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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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housekeeping support for research and teaching activities across the School. You will undertake a two-year apprenticeship placement to gain a broad base of experience in a variety of life sciences environments
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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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out in collaboration with Eindhoven University of Technology, KWB Kompetenzzentrum Wasser Berlin, water utilities companies in Germany and Spain, and some other EU companies providing water
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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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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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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