16 web-programmer-developer-"https:"-"UCL"-"University-of-Kent"-"https:" Fellowship positions at KINGS COLLEGE LONDON in United Kingdom
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professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six
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which is one of the largest and most comprehensive clinical liver programmes in the world. There are 5 focus areas: Steatotic liver disease, Cirrhosis & gut-liver axis, Hepatobiliary neoplasia
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professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six
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already commenced training in general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data
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already commenced training in general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes
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which is one of the largest and most comprehensive clinical liver programmes in the world. There are 5 focus areas: Steatotic liver disease, Cirrhosis & gut-liver axis, Hepatobiliary neoplasia
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term contract of 13 months from contract start date. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat
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developers, administrative staff, and clinical leaders—to support implementation, deliver training, and provide ongoing assistance to end-users. Strong digital and IT competence is essential, particularly
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing