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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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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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organised specifically for the appointed person, in terms of the split between clinical and academic work. The post represents an exciting opportunity to combine clinical work with a programme of high-quality
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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in bioinformatics, computational biology, genomics or a
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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
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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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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Dr
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Overview The Sheffield Centre for Health and Related Research (SCHARR) are recruiting a researcher with a strong background in causal inference and interest in health technology assessment (HTA
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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