180 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" 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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on collaboration, learning, and helping partners deliver and embed solutions. DISS sits within the Student Knowledge, Information & Enquiries (SKIE) department. SKIE brings together colleagues who are focussed
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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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Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six Departments. About the Medical Statistics: https://www.kcl.ac.uk
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of suitable patients for sample and data collection to the King’s College Denmark Hill Haematology (KCDHH) Biobank, to support defined research studies. This involves liaising closely with clinical teams
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quantitative data and new qualitative data. The postholder will contribute to the development and coordination of the Race Equity in Care survey and qualitative interviews with carers, including supporting
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will on-board and oversee data collection and analysis for an at-home acceptability study in participants with chronic lung disease. The successful candidate will ascertain the acceptability of using
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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