15 web-programmer-developer-"https:" "https:" "https:" "Newcastle University" "Newcastle University" Fellowship positions at King's College London
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Classics Department is seeking to appoint an Early Career Development Fellow in Classics for a two-year period. The Fellow will conduct research, produce research publications, deliver teaching, and provide
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-dimensional mapping model of existing UK cohorts along axes of consent level, clinical characterisation and data availability. Your outputs will feed into an industry-facing web platform – developed in
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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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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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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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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deliver policy engagement by convening regular roundtables and an annual major international workshop. Given the field's ongoing development, the Research Fellow is also expected to expand the programme of
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bodies, and R&D offices. Experience of contributing effectively to undergraduate and/or post graduate teaching programmes. Demonstrate an ability to develop individual and collaborative research projects
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. The post will contribute to the development and evaluation of trustworthy AI approaches that support high-quality clinical documentation and safer decision-making in dental care. You will help deliver co
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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