40 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at King's College London
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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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. About The Role We 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
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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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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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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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systems development to work within established research programmes. Practical experience in a laboratory environment. Experience of working in a research team. Ability to manage own research and
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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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