664 computational-physics "https:" "https:" "https:" "https:" "INRAE" Fellowship positions in United Kingdom
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Computer Science at the University of Nottingham is seeking a talented researcher with skills and experience in soft robotics, specifically in interactive materials to augment robot and human bodies
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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to key, but poorly understood, physical processes and parameterisations. At Exeter, the work will focus on understanding how processes such as clouds and convection, ocean heat transport, and continental
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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any relevant stakeholders to ensure project can be completed. Any other ad-hoc duties assigned. Expected qualities: Serve as the process lead engineer in both design, engineering and testing
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within the College of Engineering and Physical Sciences, this post will work closely with other researchers in Chemistry, Chemical Engineering and Metallurgy and Materials as well as collaborators
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development opportunities Provide a platform from which fellows may apply for external funding, such as clinician scientist fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick
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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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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