404 algorithm-development "https:" "IMT Atlantique" positions at KINGS COLLEGE LONDON
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About you This role sits within King’s Digital, an innovative and collaborative team driving the development of online education at King’s College London. In partnership with academics
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About us The Centre for Research Staff Development (CRSD) where this post is located is responsible for implementation of the Technician Commitment Initiative and the Concordat to Support the Career
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About us The Centre for Research Staff Development (CRSD) where this post is located is responsible for implementation of the Technician Commitment Initiative and the Concordat to Support the Career
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About us The Health Research Development team supports research income generation activity across the four health faculties at King’s. Our team focuses on helping faculties deliver King’s health
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About us King’s Professional & Executive Development (KPED) is a central directorate and business owner of Professional Education at King’s. KPED work with King’s nine faculties to deliver
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-of-the-art Siemens Quadra Total Body PET-CT scanners. This is a very exciting time to join our team with ample opportunity to contribute to an ambitious programme developing the clinical and research
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research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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individual with the appropriate disciplinary experience for the post of Lecturer in Computational Engineering, who are interested in developing an independent world-leading research group with an aim
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pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in Latin, contributing to the creation of a 100-million-token annotated corpus