8 data-"https:"-"https:"-"https:"-"https:"-"INESC-ID" PhD 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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modelling and CFD simulations. A suite of flow measurement techniques will be used to characterize the testing environments, capture flow fields around the rider, and collect performance-related data
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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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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
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as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model