56 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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are committed to supporting our staff and students and open to a flexible working approach. You can find out more about the benefits we offer here: https://www.southampton.ac.uk/hr/services/benefits-explained
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with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). We particularly welcome applications from candidates whose research can contribute to one or more of our cross
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investment aligned with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). Applicants will have expertise in neuroscience/neuropsychological methods (e.g., functional brain
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to apply Website https://www.timeshighereducation.com/unijobs/listing/405561/research-technician… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUNIVERSITY
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the University of Southampton’s wide range of benefits, please visit https://www.southampton.ac.uk/hr/services/benefits-explained/index.page Learn more about Southampton Sport Meet the Team Behind 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