13 machine-learning "https:" "https:" "https:" Fellowship research jobs at The University of Southampton
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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the project forward and translate our research into tangible innovations for the UK’s growing photonics sector, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
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Research Fellow in Medical Machine Learning (Cystic Fibrosis) The University of Southampton is seeking to appoint a Research Fellow in Medical Machine Learning to work on an externally funded
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founded on the distinctive functionalities of this novel state of matter (see, for example, Nature Photonics, http://dx.doi.org/10.1038/s41566-024-01557-1 ). We are seeking a creative and capable researcher
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of intergenerational relations and population change. The Centre is led by Professor Jane Falkingham. For further details, see https://www.cpc.ac.uk/research_programme/connecting_generations/ This project will examine
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. Bharathram Ganapathisubramani, collaborating with the European Space Agency (ESA) and NHS Hampshire Hospitals. More information about the project is available at https://project-pasta.com . Key
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will be given to applicants who have taken a career break. The University has a generous maternity policy**, and onsite childcare facilities. For further information please visit https
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications