155 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at KINGS COLLEGE LONDON
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24 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Literature Engineering Geography Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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11 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Architecture Engineering Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) First
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resolution, contemporary and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within
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About Us The Engineering Team at King’s College London is responsible for all reactive, planned and statutory maintenance for all campuses. The Engineering Asset Manager will sit within
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is the research transformative aspect that provides the opportunity to serve society while supporting King’s as an outstanding institution in science and technology. The Department has strong links
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Formstone (see Panousopoulou et al. J. Cell Sci. 2016 (https://doi.org/10.1242/jcs.180703) and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https://doi: 10.1038/ncomms11469 and Prof. Philippa
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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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specific research focus may be considered, but preference will be given to candidates with subject matter expertise in the following areas: professional military and security education; disruptive technology
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invested in new laboratories and maker space at the centre of the Strand campus in the heart of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in