63 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at UNIVERSITY OF SOUTHAMPTON
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the staff benefits and why you should join us at The University of Southampton. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404358/research-fellow-in-… Requirements Additional
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senior lab member you would be expected to aid in the training of junior members; some more details about the group can be found here: https://the-williams-group.co.uk/ . Informal enquiries should be
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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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mechanics including turbulent boundary layers, flow control, atmospheric flows, and diagnostics development. You will join a large and friendly aerodynamics group (http://www.southampton.ac.uk/engineering
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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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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