116 computing-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at King's College London
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in health and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Applications
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. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Bachelor’s or Master’s degree in Computer
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written, including an ability to write technical and on-technical papers including survey reports as required 8. Excellent computer skills using Microsoft Office and particularly Microsoft Excel
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, sound mixing) AV integration and design Desirable criteria: Able to install, configure, upgrade and test desktop computers (both Windows and macOS) AV-specific certification (CTS, Dante, Q-Sys, Crestron
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regulation. With internationally recognised programs in both computational and experimental genetics, the department serves as a hub for interdisciplinary research, encouraging collaboration across various
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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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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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, mathematics, chemistry, informatics, engineering and natural sciences. This role presents an exciting opportunity to be part of a technical team supporting and delivering undergraduate and taught postgraduate
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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