14 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at KINGS COLLEGE LONDON in United Kingdom
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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establishing a strong academic track record. You may have worked in MRI research previously or have strong computational / AI / machine learning skills used in other areas of research. Essential criteria PhD
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(Pharmacy, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and
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: david.jackson@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406107/research-assistant/… Requirements Additional Information Work Location(s) Number of offers
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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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ID: 134807 Close Date: 01-Feb-2026 Contact Person: Dr Matheus Alves Duarte da Silva Contact Details: matheus.alves_duarte_da_silva@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com
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@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406208/research-assistant-… Requirements Additional Information Work Location(s) Number of offers available1Company
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About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but
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investigator. The post is suitable for a clinician who is seeking to learn about research methodologies or to a post-doctoral fellow who wants to take responsibility for the organisation and conduct of clinical
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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 ability to work independently. Track record