501 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Sheffield
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by the physical system. You should have a strong background in theoretical physics, mathematical optimization theory, or quantum error correction, and have completed or be in the final stages of a PhD
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Muon Tomographic Reconstruction of Intense Magnetic Fields School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell Application Deadline: Applications
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Status, distribution, and dynamics of marine biodiversity School of Biosciences PhD Research Project Self Funded Dr T Webb Application Deadline: Applications accepted all year round Details Marine
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Feedback to the cochlea from the lateral superior olive of the brainstem following noise exposure School of Biosciences PhD Research Project Self Funded Dr Adam Carlton, Prof Walter Marcotti
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criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at PhD (or equivalent experience) in twentieth-century poetry and/or modern/contemporary visual arts
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing School of Electrical and Electronic Engineering PhD Research Project Self Funded
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Civil Engineering PhD Research Project Directly Funded UK Students Dr Marco Colombo, Dr Giovanni Giustini, Dr Ryan Tunstall, Dr Patrick Lewis Application Deadline: Applications accepted all year round
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Future Millimetre Wave RF Circuits and Systems School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Eddie Ball Application Deadline: Applications
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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Peptide drug conjugates for cancer School of Biosciences PhD Research Project Self Funded Dr Stephen Brown, Dr Benjamin Partridge Application Deadline: Applications accepted all year round Details