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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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for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Funding Notes
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-learning enhancement approaches in a more user-dependent manner. The project will be based at the University of Sheffield and co-supervised by experts from both Universities of Sheffield and of Salford
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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. The project can be adapted based on the student’s interest and experiences. Funding Notes This is a self-funded research project. Applicants can apply for a Scholarship from the University of Sheffield
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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for physics beyond the Standard Model. The detector will be built deep underground at the SURF facility (South Dakota, USA). The particle physics and particle astrophysics (PPPA) group at the University
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participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
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publications. There are opportunities for industrial placements during the project. The PhD student will be based at the School of Electrical and Electronic Engineering at the University of Sheffield. The School
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of AI in the School of Computer Science at the University of Sheffield. She received her PhD in Computer Science from Washington State University in 2018, and then spent 2.5 years as a Postdoctoral