137 computer-"https:" "https:" "https:" "https:" "UNIV" positions at King's College London
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an externally funded programme that enhances the Institute’s contribution to and academic alignment with School, Faculty and King’s research ambitions. The successful candidate will publish high‑quality peer
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law firms all within walking distance. About the role We run a varied events programme with approximately 150 public events each year ranging from public lectures, workshops to multi day events
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clinician who will spend, on average, one day a week developing and leading a spiral of leadership education across the MBBS programme. The successful candidate will work with the MBBS programme team
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Informatics. Contact details:Angus Roberts. angus.roberts@kcl.ac.uk Location: Denmark Hill Campus. Category: Research. THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: The post will be based in
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Foundation Programme Grant, we will refine our existing research computational tool and technology into a robust, well-engineering software as a medical device, ready for clinical evaluation. The tool will
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role This is a Research Associate
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skills 3. Computer literacy including word processing, spreadsheets, databases and internet use 4. Evidence of significant understanding of technology transfer in an academic environment 5
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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. Excellent written and spoken English 2. Computer literate and able to use standard Events software 3. Excellent organization and planning skills 4. Ability to prioritise workloads as