54 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" research jobs at King's College London
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Classics Department is seeking to appoint an Early Career Development Fellow in Classics for a two-year period. The Fellow will conduct research, produce research publications, deliver teaching, and provide
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at King’s College London within the Personalised Medicine team led by Dr Ahmad Al Khleifat. Our team currently include several staff and students and we have extensive experience in the development of genomic
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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and Drosophila work. CDN has close partnership with the Medical Research Council (MRC) and CDN researchers, together with clinical researchers from King’s, make up the MRC Centre for Neurodevelopmental
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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-dimensional mapping model of existing UK cohorts along axes of consent level, clinical characterisation and data availability. Your outputs will feed into an industry-facing web platform – developed in
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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Society and the National Institute for Health and Care Research (NIHR) Programme Grant. REFUEL MS aims to develop, optimise and implement a blended, app-based digital intervention for multiple sclerosis (MS
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fundamental discovery to patient care. Our laboratory focuses on advanced label-free optical technologies for disease detection and characterisation. We develop fibre-optic and multimodal imaging systems
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building