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Are you keen to pioneer machine learning models that address the challenges of robot perception? We are recruiting a research fellow who will work on our EPSRC-funded research project on “Active
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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modelling, satellite data assimilation, multivariate statistics, and machine learning. Prior experience with model and satellite products for mapping and understanding SM-dependent hazards (like floods
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their independent learning and thinking skills Recruit and build cohorts of young people to participate in the NxtGen Researchers programme Build strong relationships with schools, local authorities, and third sector
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Reality for Learning in Context – Movement and memory go together. How can we leverage movement over and through our environment to build new skills – like 2nd language acquisition - to thrive better
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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research in health services or settings, including data collection and analysis, is essential. You should also be willing to learn more advanced analytical techniques and display a demonstrable interest in
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facilities and a range of discounts. Learn more about ECS at: https://talentedu.com/ecs/ We strongly encourage interested candidates to contact Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk ) to discuss