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ergogenic (particularly nutrition) strategies for performance. To achieve this, various methodologies will be used, including cross-sectional and intervention studies, and the collection of biological samples
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, and gaining practical experience. At Swansea, supervisors Dr Alexander Shaw and Dr Hadi Madinei have an extensive publication record in the area of nonlinear structural dynamics, and are part of
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developed during this work will deepen our understanding of nonlinear wave phenomena in fluid mechanics and contribute to the broader theory of interfacial flows. This PhD project is in a competition for a
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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computational techniques. In particular, we are looking for curious, enthusiastic and hard-working candidates with the following expertise: -- strong understanding of concepts in nonlinear waves and fluid
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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
recent work combines CRISPR screen ranking with pan-mammalian positive selection analysis to pinpoint antiviral and proviral genes. Using this framework, we have already identified genes that affect
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inconsistent. This is often because current approaches focus on adding lots of microbial diversity rather than identifying the specific microbial functions and network interactions that truly drive plant
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying