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. This role is full time and you will receive an indefinite contract. The interviews for this role will be held at King's College London on 4 June. About the Faculty: https://www.kcl.ac.uk/artshums About the
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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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you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity
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, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific breakthroughs, revolutionise maternal and early childhood health
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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evaluations to assess the impacts of interventions on key outcomes, using experimental and quasi-experimental approaches Conducting implementation and process evaluations to explore how interventions operate in
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of what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel
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About us The Department of Chemistry in the Faculty of Natural, Mathematical & Engineering Sciences (NMES) is a friendly and growing department seeking to recruit a full-time Senior Business
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scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific
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King’s Health Faculties. You will provide guidance on best practice in simulation pedagogy, support faculty colleagues in session design, and ensure all activities comply with quality assurance processes