27 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral research jobs at King's College London
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teaching hospitals, the department works closely with clinicians and other research groups to ensure strong translational impact. Its mission is to revolutionise healthcare through data‑driven modelling
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework
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will on-board and oversee data collection and analysis for an at-home acceptability study in participants with chronic lung disease. The successful candidate will ascertain the acceptability of using
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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an intensive clinical problem. Our research aims to develop, validate and clinically test a series of state-of-the-art computational tools, which combine patient imaging data and electrical measurements, along