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to discourse semantics, and how plausible memory models can predict diverse quantitative data in linguistics and cognitive science. The project has two components: an empirical one and a computational one. The
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large scientific collaborations by applying methods from social network analysis, large language models (LLMs), and knowledge graph technologies. As part of a small, supportive research team, you’ll have
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About us: The Research Associate will be hosted by and managed at King’s Business School (King’s College London). King’s Business School is part of an internationally renowned university with a
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), using large-scale real-world data. This PostDoc position is part of a ZonMw-funded project on long-term risks in patients with post-COVID compared to individuals with similar complaints after other viral
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of the SURFMET project. Interact with the engineering department for the design part and the workshop for the realization part. Test the device's performance in and out of the magnetic field. Participate in
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learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a demonstrated ability
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innovation in global health. You will work as part of the SchistoTrack team, a prospective cohort study that investigates predictive factors for schistosomiasis-associated morbidities across rural Ugandan
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the
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who are able to start between 1st January 2026 and 1st June 2026. The successful candidate will be part of a research group with responsibility for carrying out research in Applied Mathematics and