225 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at King's College London
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. The post is based at the Ule Regulatory RNA Networks lab at UKDRI Centre at King’s. The lab consists of 8 researchers including PhD students and postdoctoral fellows. For more information, please see the
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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
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efficiently, reliably and to a high technical standard. The primary purpose of the role is to provide skilled laboratory support across the project, generating high-quality data in molecular biology and cell
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of working with a financial accounting system and in exporting data to produce meaningful reports to meet the needs of different stakeholders. Working closely with the Finance Business Partner, you will
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to prioritise complex caseloads effectively. Knowledge of evaluation methods and analysis and experience producing management information and reports. Educated to degree level with a strong understanding and
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range of field and laboratory approaches and are proficient with advanced environmental data analysis. We welcome candidates with a track record of obtaining research funding and experience working with a
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the section of Perinatal Psychiatry at the Stress, Psychiatry and Immunology Lab. As part of this role, they will be a study coordinator for HappyMums, a consortium study which investigates whether data
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information is shared across King’s and with external stakeholders. The role is varied and unique, offering an opportunity for an initiative-taking individual to lead on operational delivery, whilst working
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and recommendations, drawing on a variety of perspectives and sources, and supported by robust analysis Synthesising and analysing a variety of quantitative data, including working closely with
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in