24 machine-learning-"https:"-"https:"-"https:" positions at 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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, 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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, ensuring a positive first impression. Provide information and signpost enquiries to the right services. Accurately maintain records and use computer systems to support daily tasks. Handle card payments and
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time schedules Use of equipment such as balers and external cleaning equipment. Driving to move waste and recycling to various locations Driving a road-sweeping machine You will need to be reliable
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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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well as academic staff and other professional services staff. The ability to work with Excel, Outlook and MS Teams as well as learn other systems such as virtual event platforms and CRM will enable you to succeed in