118 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at KINGS COLLEGE LONDON
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area, e.g., Robotics, Computer Science, Artificial Intelligence
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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, mathematics, chemistry, informatics and engineering. This role presents an exciting opportunity to run and develop the Nuclear Magnetic Resonance (NMR) service in the Chemistry department providing expert
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storage, biobanking, data management, cold storage and biobanking or process optimisation for sustainability. Knowledge or experience in computational or data-driven research environments, with awareness
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. Working closely with the Lead Investigators, the post holder will ensure the successful conduct and completion of the research programme. They will contribute to the collection and analysis of data and play
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administrative support in a fast-paced environment. Strong computer literacy, including proficiency in Excel. Ability to build and maintain effective relationships with internal and external stakeholder, with
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About us Comprising the largest dental school in Europe, the Faculty of Dentistry, Oral & Craniofacial Sciences (FoDOCS) at King’s College London is a centre of excellence in the UK for oral
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has undergone a period of rapid change, expanding in size over the last twelve months, and launching new programmes including an MSc in Health and Social Care Policy, and a programme for the Civil
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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. Working closely with the Lead Investigators, the post holder will ensure the successful conduct and completion of the research programme. They will contribute to the collection and analysis of data and play