96 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at King's College London
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students with the skills to succeed in their research, and in rewarding careers within and beyond academia. Initiatives, including a placement programme, expanded training opportunities and professional
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, mathematics, chemistry, informatics and engineering. This role presents an exciting opportunity to run and develop the Nuclear Magnetic Resonance (NMR) service in the Chemistry department providing expert
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, you will join an established team and bring experience in gathering, interpreting, and presenting data to demonstrate impact. Experience of matrix working would be beneficial, as the programme
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an independent, interdisciplinary research programme in immunology and/or inflammation biology at King’s. The post will be based at the Centre for Inflammation Biology and Cancer Immunology (CIBCI), Department
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in computational or data-driven research environments, with awareness of the sustainability implications of digital research infrastructures. 3. Experience in designing and delivering lab training
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of Psychology; Social, Genetic & Developmental Psychiatry (SGDP); Health Service & Population Research (HSPR); and Biostatistics & Health Informatics (BHI). With over 100 Principal Investigators, our research
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successful in this role, we are looking for candidates to have the following skills and experience: **Essential criteria ** Educated to degree level or significant relevant experience Experience of programme
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BioResource GLAD Study (>38,000 participants) and is based at KCL’s Institute of Psychiatry, Psychology, and Neuroscience. The new programme will recruit an additional 12,000 individuals with recurrent MDD
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faculty in New Zealand and one of the largest in Australasia. It undertakes world-class research across the physical, biological, and computational sciences. More than 9,000 students study in our 10 schools
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high