25 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL"-"UCL"-"UCL" positions at UNIVERSITY OF SOUTHAMPTON
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Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
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and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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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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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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recognised degree without leaving the country. The role holder’s contribution will be central to high-quality teaching and learning experiences, developing and implementing internationally-recognized curricula
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CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with interests in tumour immunology, T cell engineering, and
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degree without leaving the country. Job Purpose The role holder’s contribution will be central to the delivery and support of teaching, learning, and assessment related to the modules offered in
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degree without leaving the country. Job Purpose The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Business for the University
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degree without leaving the country. Job Purpose The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Business for the University