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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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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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(e.g., EEG, breathing, HRV, tactile interfaces), and comfort with raspberry pi/Arduino for prototyping. Knowledge in motor learning, physiology, neurology is an asset. Target publication venues for our
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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