40 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" positions at King's College London
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, of which over 4500 were recruited to research. More information: https://www.kcl.ac.uk/bmeis About The Role This role provides an exciting opportunity for a dynamic and enthusiastic individual to join our
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strength is the interdisciplinary nature of both its research strategy and educational activities, providing unique opportunities for students and staff. You can find out more here: http://www.kcl.ac.uk
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studentships are available across the Faculty, including Engineering & Physical Sciences Research Council (EPSRC) Studentships, which are available in all of our departments (when applying please use code EPSRC
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. This role will oversee a Phase 2/3 multi-arm, multi-stage (MAMS) trial evaluating the safety and efficacy of repurposed biosimilars and biologics in adults with epidermolysis bullosa (EB). https
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students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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about the faculty, please see our website: https://www.kcl.ac.uk/sspp. About the role: Primarily affiliated to SSPP’s School of Global Affairs (SGA), the Student Engagement Officer role is a fantastic
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of these programmes. The successful candidate will be appointed to a research group and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research/groups ). Research
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workshops with carers or stakeholders, and qualitative data coding and content analysis, alongside conducting meta-systematic (umbrella) literature and policy reviews on caregiving experiences. A key aspect
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evidence of expertise and completed research outputs Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs Proven ability to write code in Python Experience