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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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Career Development programme). The role also requires the maintenance of administration processes, databases and web pages, the dissemination of materials for students, and organisation of various
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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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Hybrid Multi-Laser Laser Powder Bed Fusion for Next-Generation Metallic Components School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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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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. 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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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
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their programme. The ideal candidate will have outstanding customer service and interpersonal skills, and an ability to put people at ease through sophisticated and sensitive verbal and non-verbal communication
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Sequestration potential of neo-fossils for global chemical industry School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr Fanran Meng, Prof