12 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" Fellowship positions at King's College London
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), based within the Department of War Studies at King’s College London, is seeking a Research Fellow for its new Net Assessment Programme. They will be engaged on a new multi-year research project funded by
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role The Research Fellow in Translational and Digital Health
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role The Research Fellow in Early-Phase and Digital Health Trial
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and enhances King’s internationally leading work. Fellows are expected to establish an independent research programme rather than continue within their current group. We are particularly interested in
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imaging programme which includes high resolution functional imaging studies; simultaneous EEG-fMRI studies of infant learning; the development of novel MR imaging methods on a portable ultra-low field
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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strong programming skills, attention to detail, and experience with complex healthcare data. This is a full time post (35 hours per week), and you will be offered a fixed term contract until 2nd March 2028
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supports our programme of translational research in inflammatory skin diseases, rare skin disease, and skin cancer including acquisition of carefully phenotyped biosamples to understand disease mechanisms
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD