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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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and predictive design framework for thin-film composite mixed-matrix membranes (TFC-MMMs). The primary objective is to design TFC-MMMs capable of efficient high-pressure gas separation for carbon
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
of the intermediate states and transition states. Your Job Operando and time-resolved investigation of small-molecule hydrogen-carrier conversion, with an initial emphasis on ammonia decomposition and formic-acid
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an in-house domain decomposition method based on integral equations. This electromagnetic modeling technique has shown excellent performance both timewise and precision. However, this technique is not
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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. The team specializes in multi-sensor methods, tensor decompositions and component analysis for the joint processing of multimodal data, notably in the context of invasive (intracardiac electrograms) and non
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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from the team (multi-omics analyses of pediatric arterioles) identified a dysregulated molecular network involving the extracellular matrix and immune signalling, linking matrix remodelling and the Wnt/β
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the complexity of relevant structured classes of distributed game equilibrium problems. Develop data-driven decomposition methods for structured game equilibrium problems. Develop data-driven, fast and scalable
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human hearts and developing new methods to extract clinically meaningful information from them. Potential approaches include advanced signal decomposition and feature extraction, time–frequency and