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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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applications from candidates who meet the following criteria: PhD (or about to complete) in relevant discipline e.g. Bio/Medical/Mechanical Engineering; a track record of developing validated computational
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Us The Department of Infectious Diseases brings together researchers and students to understand the pathogenic mechanisms, diagnosis and treatment of human infections. Our research bridges our
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project. The Galao lab focuses on understanding how RNA viruses interact with the host immune system, with particular attention to mechanisms by which viruses like SARS-CoV-2 are countered by host defences
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer
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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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set out in the fellowship and in the University of Birmingham’s graduate Programme of study. To contribute to the enhancement of scientific understanding of chronic inflammatory disease mechanisms in
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and Physical Sciences Research Council (EPSRC) entitled “Real-time Virtual Prototypes for the Power Electronics Supply Chain”. The programme will focus on research in real-time mechanical behaviour