56 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at King's College London
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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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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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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. 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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. The project is led by Professor Erica Carter (KCL: PI/Principal Investigator), Dr Dan Hodgkinson (Oxford Department of International Development (ODID): Co-I/Co-Investigator) and Dr Samar Abdelrahman
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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