186 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" uni jobs at King's College London in United Kingdom
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applications from people of all abilities and currently under-represented groups, which we can support with our range of flexible and inclusive benefits. Information on the Department of Mathematics and the
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, of which over 4500 were recruited to research. More information: https://www.kcl.ac.uk/bmeis About The Role This role provides an exciting opportunity for a dynamic and enthusiastic individual to join our
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translational research. Please see the link below for supporting information about the university including rankings, research outputs, King’s Health Partner Trusts and our current fundraising initiative
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students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans
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such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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: Student Data Systems. Contact details:Iain Dunn. Iain.dunn@kcl.ac.uk Location: Waterloo Campus. Category: Professional & Support Services. THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: The
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platforms that support translational research, clinical decision support, and patient-centric digital health solutions. They will work cross-functionally with data scientists, clinical researchers, software
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of administration for the Centre, including event management. This will include working closely with the RSS Manager to communicate information effectively across the King’s NIHR RSS partnership including Greater
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health and behaviour throughout pregnancy, enabling a holistic understanding of health trajectories and personalised interventions. The post focuses on analysing multimodal data collected from wearable