141 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at KINGS COLLEGE LONDON
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at King's, which brings together a unique range of internationally recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About
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King's scientists. Many of the research groups were top rated in the last HEFCE Research Assessment Exercise. The Faculty’s students enjoy unrivalled learning opportunities, supported by strong
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significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further information may be found at: http://www.kcl.ac.uk/physics About the role
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to creating social and economic value for both business and society. We offer a wide selection of undergraduate and postgraduate programmes (see https://www.kcl.ac.uk/business), with sustainability at the heart
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Emsley Contact Details: richard.emsley@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406291/-professor-of-early… Requirements Additional Information Work Location(s
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promote the adoption of evidence-based interventions. See more at: https://www.kcl.ac.uk/policy-institute/about/edit About the role The Research Assistant (Evaluation Officer) will support EDIT in
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system may hold clues to how psychosis and other psychiatric disorders are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine
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communication skills, with advanced computer use and strong interpersonal and influencing/behavioural skills to build a strong network to support the delivery of the service. Effective management skills and the
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world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing