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PhD degree in civil, mechanical, or electrical engineering, computer science, or a closely related field. A desire to engage in cross-disciplinary research at the intersections of civil, mechanical
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scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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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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Minimum of $54,000 based on experience Type of Position Other Position Time Status Full-Time Required Education PhD degree required. Required Related Experience 5 years (including Ph.D. training) Required
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photo-responsive synthetic cells containing protein machinery. The project involves the synthesis of synthetic transport systems for amino acids, photochemistry and fabrication of responsive synthetic
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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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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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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