26 evolution-"https:"-"https:"-"https:"-"https:"-"O.P" Postdoctoral positions at KINGS COLLEGE LONDON
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within the fields of development, peacebuilding and security with attention to Global South contexts. It also works on pressing global challenges including climate change, sustainability, and governance
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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deliver these aims include analysing data and producing outputs from our ongoing REACH programme, conducting comparative analyses with other regional and national data sets, and supporting the development
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days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and
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development, collaborating with the Southampton Nanofabrication Centre. Contribute to regulatory documentation required for MHRA submission, including technical files and clinical investigation plans. Play
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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 to Postdocs
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environment at the Pears Maudsley Centre, with access to extensive neuroimaging, genomic, and clinical datasets and excellent computing infrastructure and expertise in AI. Our career development emphasizes
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(with the possibility of extension) 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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Hours per week), and you will be offered a fixed term contract until 30 September 2028 / 2029. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging