10 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Fellowship 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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work well within multidisciplinary teams. A strong publication track record in high-quality international journals or industry experience in using Shima Seiki WholeGarment machine would be an asset
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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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change and its relevance for present-day sustainability strategies. Alongside your research contribution, you will co-teach modules in Archaeology and Cultural Heritage. About you You have a PhD in
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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
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to conferences during the project duration. It is desirable that the person has experience in designing and testing ion thruster technology, or a demonstrated aptitude for learning new fields of research
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). Working with colleagues across the University and in the local NHS, we have strengthened our position as a renowned centre for translational research, leading innovative learning and discovery for better