171 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at KINGS COLLEGE LONDON
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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Learning Centre is seeking a Simulation Education Specialist to support the delivery of high-quality, clinically relevant simulation-based education across the Health Faculties. This professional services
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methodological training courses and attend international conferences alongside opportunities to publish peer-reviewed articles, contribute to the teaching and learning programmes in the department, and gain
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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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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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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