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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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to trace star formation, while gas can block the X-rays used to identify black hole activity. PRIMA therefore offers a unique view of these hidden processes. PRIMA is being proposed as NASA’s first $1
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, or gas turbines. This project develops robust system and component design methods, an integrated manufacturing platform, and multi-material joining techniques to efficiently produce small-scale
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
well as combustion related aspects of the flow. Finally, you will develop innovative LES models and pioneer their application in real combustors, e.g. in burners, furnaces, and gas turbines, to show their outstanding
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of Warwick, and Prof Emma Kendrick at the University of Birmingham. The project will be affiliated with the Faraday Institution FAST project and will combine advanced computational modelling with experimental
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modelling, agentic AI, uncertainty estimation), and an interest in clinically-grounded oncology research. We particularly encourage applications from individuals across all groups traditionally
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make it possible to obtain new constraints on the parameters of the standard cosmological model and to test possible extensions to it. Achieving these goals will require extremely precise control
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occur in astrophysical objects, such as the plasma disk magnetospheres of gas giants. The cases of Saturn and Jupiter have recently attracted significant attention, and the understanding and
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of syngas biomethanation with conventional anaerobic digestion entails several advantages e.g. increased gas flow for more cost-efficient liquefaction of biomethane, and heat management. Moreover, supply
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas