102 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at KINGS COLLEGE LONDON
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About us Our contemporary Chemistry Department, based in the Faculty of Natural, Mathematical and Engineering Sciences, provides an exciting place to explore the boundaries of the subject. The
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imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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About Us The School of Biomedical Engineering & Imaging Sciences seeks to appoint an enthusiastic and proactive clinical research fellow to undertake research and imaging activities to spearhead
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project, an ambitious programme developing medical-grade nanoneedle bandages to deliver life-changing gene therapy for patients with recessive dystrophic epidermolysis bullosa (RDEB). This is a unique
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering