11 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" Postdoctoral positions at King's College London
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Skip to main content Post-doctoral Research Associate in Machine Learning for Mental Health Job id: 159026. Salary: £45,031 - £52,514 per annum inclusive of London Weighting Allowance. Posted: 21
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before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for
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research ( https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we
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, ultimately, to identify novel therapeutic targets. To learn more about our research and collaborations, visit https://zebrafishucl.org/tuschl About The Role This is a postdoctoral research assistant
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& Neuroscience (IoPPN), under the supervision of Jacqueline Phillips Owen, Consultant Child and Adolescent Psychiatrist, Senior Lecturer and Lead for the Maudsley Education Consultation Service ( https
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to start imminently, and before mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news
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: https://www.kcl.ac.uk/research/pavri-group . The lab is located within the School of Immunology & Microbial Sciences within the Faculty of Life Sciences & Medicine, one of the UK's largest biomedical
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the Faculty of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our
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About us We are seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include
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or other linked health and administrative datasets. Research experience relating to ADHD, learning difficulties or neurodevelopmental conditions, child and adolescent mental health, conduct problems