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) Country United Kingdom Application Deadline 6 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study
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Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role: Lecturer in Digital Health, Health Informatics and
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cloud or distributed computing environments. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR). Clinical experience, e.g., interaction
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the ability to translate between clinical and technical language while working with radiology informatics teams. A solid understanding of DICOM standards, PACS and RIS environments, GDPR, and image transfer
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pipelines. Experience contributing to open-source projects or Moodle community plugins. Knowledge of UX principles and collaboration with designer. Experience with cloud-based hosting (AWS, Azure) or Linux
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this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research
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) and reproducible research practices Desirable criteria Experience working with generative models or large language models Experience with large scale GPU-based model training and cloud computing
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the programme implementation teams to meet donor standards and requirements for key submissions. The Head of Programmes will develop strategies and donor compatible internal systems to sustain high compliance