14 system-science-"https:"-"https:"-"https:"-"https:"-"https:" "Chalmers University of Technology" Fellowship positions at UCL
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community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences We are seeking
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expertise complement each other to together do great science on topics of biomedical importance. This is further enhanced by tight, cross-disciplinary collaborations with multiple other labs with
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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with
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, dependent on NHS contract and/or stage of clinical training. As well as the exciting opportunities this role presents, we also offer some great benefits; visit https://www.ucl.ac.uk/work-at-ucl/reward
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’ leave, a generous pension scheme, family-friendly policies, wellbeing support, and a range of travel, lifestyle and healthcare benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits for
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community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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science or a cognate discipline or equivalent professional research experience. Post-doctoral research experience in education and technology, AI in education or closely related field. Track record of
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areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship. The research undertaken at the UCL School of Management has been
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medical science spanning digital healthcare, computing and data science, biomedical engineering or a related field. Extensive knowledge in development and application of AI/machine learning for
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within the Department spans basic and translational science, bringing together researchers with expertise across a range of neurological conditions and experimental approaches. Based within the