27 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs at King's College London
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are committed to support career development and encourage innovative thinking to tackle major challenges in Immunology. About the role We are seeking a highly motivated Postdoctoral Research Associate in
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are seeking a talented, highly motivated and enthusiastic Postdoctoral Research Associate as part of the EPSRC programme grant “Total Body Nuclear Imaging for the Development of Nanotheranostics
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(including a Parenting and Carers Fund and the Carer’s Career Development Fund), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance
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to delivering optimal gout care, by conducting focus groups, stakeholder engagement work, and qualitative data analysis. They will support the development of interventions to address identified barriers
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to London Bridge, offering a vibrant scientific and cultural environment. This role provides an excellent opportunity for career development within a leading immunology research centre at King’s College
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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are committed to support career development and encourage innovative thinking to tackle major challenges in Immunology. About the role We are seeking a highly motivated Postdoctoral Research Associate in
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fixed term contract for 36 months. 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
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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