30 parallel-and-distributed-computing-phd-"Meta"-"Meta" Postdoctoral positions at King's College London
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Neuroscience, data analytics, computer science or a related discipline Strong
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total value of > £ 4 million. He has published over 80 research articles, 8 patents and successfully supervised more than 30 PhD students. They are currently working on innovative approaches to non
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About us We are seeking a highly motivated postdoctoral research associate to join the group of Dr Saidul Islam at the Department of Chemistry, King’s College London, as part of our programme
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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planned work, including one of the UK’s only 7 Tesla MRI systems located inside a hospital environment, state-of-the-art engineering and physics laboratories, high-performance computing, and industry
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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/Z534304/1 (assessed under the ERC Advanced Grant scheme). The ideal candidates will hold a PhD in theoretical/condensed matter physics, with knowledge of non-equilibrium many-body physics and methods
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, Materials Science of related subject 2. PhD in Materials modelling, computational physics or related subject (either complete or close to completion) 3. Excellent skills in programming and data
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: Biostatistics & Health Informatics. Contact details:Victoria Ratti. victoria.1.ratti@kcl.ac.uk Location: Denmark Hill Campus. Category: Research. About us: Applications are invited for a Postdoctoral Research
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical