158 data-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at King's College London
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, specifically in the Data Solutions team, which plays a pivotal role in delivering enterprise-wide data solutions. The team is at the forefront of modernising King’s data infrastructure, driving innovation
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of the large-scale programme and associated projects of the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create an innovative
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of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information on what criteria will be
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for a Lecturer position in Data Science/AI. We seek an outstanding researcher and teacher who will contribute to our Data Science, Artificial Intelligence, and broader Computer Science programmes
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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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1970’s and provided a significant number of samples during that time, covering different cancer types. These samples have been acquired under documented procedures and linked to verified clinical data
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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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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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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