49 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at King's College London in United Kingdom
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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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supporting role in delivering a complex, multidisciplinary research programme that investigates cilia as a novel therapeutic target in Type 1 diabetes, ensuring that day-to-day experimental work runs
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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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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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& 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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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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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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-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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of neurodegeneration and accelerating the discovery, development and delivery of interventions that will help diagnose, treat and ultimately prevent dementia. Our laboratory-based research groups are located at King’s
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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