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virtual characters to life, is poised for transformation with the integration of advanced deep learning techniques. This project endeavors to automate the process by understanding the status from
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of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi
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at the Department of Chemistry at the University of Sheffield. The Amdursky group is known for the development of new methodologies for investigating various charge transfer processes in different biological and
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-European academic partners: University of Southern Denmark (DK) University of Vienna (AT) Leipzig University (DE) Friedrich-Schiller-University Jena (DE) TU Vienna (AT) The University of Sheffield (UK
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of excellence conducting research at the forefront of developments in next generation semiconductor materials and devices. The Facility is a collaboration between the Universities of Sheffield, Cambridge, and
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SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications
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FULLY FUNDED 3.5-YEAR PHD STUDENTSHIP – A novel dynamical systems view of wall bounded turbulence Department of Mechanical Engineering PhD Research Project Competition Funded Students Worldwide Dr
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a collaboration between the Universities of Sheffield, Cambridge, and University College London and is home to 11 state-of-the-art epitaxial reactors, including Metal-Organic Vapour-Phase Epitaxy
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PhD opportunities in the Department of Geography Department of Geography Social Sciences Research Programme Funding Available Students Worldwide Details Department of Geography With an international