7 data-"https:"-"https:"-"https:"-"https:"-"UNESP" positions at The University of Manchester
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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, ion beam transport and detection, laser spectroscopy for atomic and nuclear physics, high voltage systems, and data analysis. The minimum academic entry requirement for a PhD in the Faculty of Science
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systems and data analysis. The minimum academic entry requirement for a PhD in the Faculty of Science and Engineering is an upper second-class honours degree (or international equivalent) in a discipline
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aspects of machine learning. Applications include improving the efficiency of data assimilation methods and understanding why and how deep learning works. Applicants should have, or expect to achieve
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implementing engineering wake models in WRF or similar activities. Production data from simulations will be compared with grid data for validation. She/he will closely work with industry and policy makers
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to create a scalable, data-driven framework for adaptive apparel innovation through the integration of emerging digital technologies and engineering methodologies. It will: Investigate how 3D body scanning
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your motivation to study this PhD project and your CV. For more information on the group visit: www.deboresearchgroup.com Contact Prof. Guillaume De Bo: guillaume.debo@manchester.ac.uk