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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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time. Accept all cookies Accept necessary cookies Settings Privacy Policy: Learn more about how we handle your data and protect your privacy. UCL privacy policy Privacy Preferences Configure your privacy
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student mentorship, with the ability to translate advanced AI and data analytics methods into engaging learning experiences. You have experience delivering taught modules related to energy, innovation, AI
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TypeHybridAvailable for SecondmentNoClosing Date24-Apr-2026JD_Param11NoJD_Param12No The BT Group Archives (BTGA) and University College London (UCL) are pleased to announce the availability of a fully funded doctoral
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About Us We are the UCL Bartlett Faculty of the Built Environment. The Bartlett is unrivalled in its breadth and depth of disciplines, programmes and departments. It is made up 13 Schools
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not suitable for UCL sponsorship. This role is available 4 days a week (80% FTE) and salary will be pro-rata accordingly. Are you dynamic, do you enjoy variety, do you like to learn, are you good with
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computational researchers at the Flatiron Institute to develop new analytical approaches. Preparing samples and supporting cryo-EM data collection where required. Documenting research, presenting findings and
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not suitable for UCL sponsorship. Are you dynamic, do you enjoy variety, do you like to learn, are you good with people? If your answer is yes to all four points, then you should apply for this role
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. Candidate profile: The ideal PhD candidate should have strong knowledge of quantum mechanics and mathematics, should have strong skills in analytical derivations and be willing to acquire computational skills
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Studies, University Connected Learning, and partnerships involving the Office of Global Engagement. Serves as the primary operational integrator across these areas, represents the Vice Provost’s office in