190 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions 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 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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of Court and midway between Westminster and the City of London. The Centre for Data Futures pioneers participatory infrastructure across the AI lifecycle through two complementary foundations: participatory
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of these educational programmes. About the role We are seeking an enthusiastic individual with the appropriate disciplinary experience for the post of Lecturer in Computer Engineering, who are interested in developing
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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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team, who are focused on delivering insights and analysis to senior partners across King’s. As a multi-award-winning data team, we are committed to investing in our people by offering growth through
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telephone or video call) following enrolment, maintaining accurate study records and databases, and liaising with site teams to coordinate data collection and follow-up activities. The post holder(s) will
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Foundation Trust, and South London and Maudsley NHS Foundation Trust. The post-holder will ensure adherence to approved protocols and undertake effective source data verification. The post-holder will ensure
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in data analytics, including interpreting utilisation, performance and cost data to produce decision‑ready insights. 4. Strong strategic and financial planning skills, including business case and
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data in EHRs includes extensive and rich detail about the presentation, phenotype, investigations, diagnosis, comorbidities, treatments, encounters with hospital services, and clinical outcomes for very