129 quantum-computing-"https:"-"https:"-"https:"-"U.S" positions at King's College London
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team of the UK-Irish Atopic Eczema Systemic TherApy Register (A-STAR). A-STAR is the UK’s flagship...
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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research strategy and educational activities, providing unique opportunities for students and staff. About the Department of Biostatistics & Health Informatics (BHI ) The Department has been a major force in
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
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an indefinite contract. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Degree in Computer
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(e.g. data science, computer science, AI/NLP)* Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by publications and/or dissertation, or equivalent
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, 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 Service Fast Stream, alongside our existing
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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the following skills and experience: Essential criteria 1. Bachelor’s degree, or equivalent experience, in Computer Science, Software Engineering, Information Technology, or a related field. 2