32 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
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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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(USS), subsidised health and fitness facilities and a range of discounts. For additional information, please email Professor Lisa McNeill, lcmn@soton.ac.uk Where to apply Website https
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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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, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques for generating high-resolution climate projections. In addition to developing
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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
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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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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can
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, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through
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polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians