36 web-programmer-developer-"https:"-"UCL"-"U"-"P" Postdoctoral positions at King's College London
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activities and a wide-ranging portfolio of education programmes. Celebrating diversity and supporting staff is important to us and we offer a range of provision including flexible working, caring support
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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of education programmes. About the role Applications are invited for a postdoctoral position in the group of Dr. Chiara Gattinoni — within the Theory and Simulation of Condensed Matter research group
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Associate to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by the National Institute of Health & Care Research (NIHR). The aim of this programme
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research and education, with a focus on understanding the mechanisms of disease and developing new therapies. This role is located within the prestigious Roger Williams Institute of Liver Studies, where our
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Delivery Location: King’s College London, Institute of Pharmaceutical Science Department: Medicines Development Responsible to: Principal Investigator, Medicines Governance Programme Responsible for: Quality
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. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies
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these physics is critical for the development of novel wind farm flow models that will aid the development of efficient wind farm clusters in the North Sea, the US great plains. What you would be doing: You will
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. The Department of Forensic and Neurodevelopmental Sciences (FANS) is one of Europe’s largest research groups, bringing together leading experts in brain development and neurodiversity. We undertake basic sciences
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and