344 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of London
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Trauma Centre at the Royal London Hospital (RLH) and lead a research programme aligned with the NIHR Barts Biomedical Research Centre (BRC). Key Responsibilities Clinical (50%): Work with complex patients
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. The successful candidate will work as part of the dermatology team in our friendly multidisciplinary referral hospital. Working as part of a team of specialist clinicians, residents, interns, RVNs and Patient
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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international networks, close links to museums and heritage organisations, and an active programme of seminars, workshops, and public events. The post will also require significant amount of time spent
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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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alongside our friendly and experienced RVNs, Patient Care Assistants, students, residents, clinicians and interns to care for patients during their stay. This is a part-time post working every Sunday 10am-6pm
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qualitative work. About You Candidates should hold a PhD (or be close to completion) in a relevant discipline, such as epidemiology, social epidemiology, data science, or medical statistics. We are looking
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, productivity and growth across the UK’s screen, performance and creative technology sectors. A core responsibility will be the development of a sustainable operating and business model that secures the National
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support to advance the objectives and development of the research programme investigating a dual origin for pituitary gonadotrophs and its relevance to the reproductive function in health and disease. About
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(e.g. molecular biology, bioinformatics, artificial intelligence or statistics), with strong computational skills and experience working with genomic or large-scale biological datasets. Further