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route towards feedback-enabled research, diagnostic and therapeutic procedures. You will define performance requirements and decision criteria, design and iterate nanoneedle architectures, and establish
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to the development of evidence-based recommendations and practical guidance for the responsible design, deployment and regulation of digital twin technologies. The ultimate goal is to ensure that future digital twin
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adoption of innovations through modern trial design, integrated delivery infrastructure, portfolio governance, and partnerships across industry, academia and the NHS. The post is based in the Department
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of Informatics at King’s College London. The position is full time and available till 30th April 2028 with immediate start. About the role The PDRA will be working on a project on resilient pattern mining, which
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clinicians Further post graduate training in relevant areas of professional psychology and / or research design and analysis. Experience in writing and publishing research papers in high-quality journal
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platform that accelerates the evaluation and adoption of innovations through modern trial design, integrated delivery infrastructure, portfolio governance, and partnerships across industry, academia and the
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norm-refinement? The PDRA will lead the design, implementation, and evaluation of the programme's computational experiments. This includes developing experimental interfaces built around large language
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platform that accelerates the evaluation and adoption of innovations through modern trial design, integrated delivery infrastructure, portfolio governance, and partnerships across industry, academia and the
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body of research outputs and the level of thought leadership and development towards independence required to be competitive as a future research leader. To secure a fellowship you will need to design a
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projects with multiple organisations contributing to deliverables 5. Proven experience of user-centric design methods Downloading a copy of our Job Description Full details of the role and the skills