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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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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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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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colleagues in session design, and ensure all activities comply with quality assurance processes and clinical standards. The successful candidate will have experience in delivering or supporting simulation
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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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that operates and maintain dedicated and technology enhanced facilities spread across different locations at King’s. Clinical education and learning are pivotal in developing and maintaining competencies in
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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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-learning to identify the treatment-relevant immune processes, with an emphasis on immune cells, autoantibodies and inflammatory markers. If we can show causal links, our work could guide future targeted
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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