140 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at KINGS COLLEGE LONDON
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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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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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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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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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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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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
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metabolism Strong problem-solving skills and the ability to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and