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the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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research funding and industrial collaboration projects. Qualification requirements We are looking for applicants with a strong academic background who have completed a five-year PhD within a relevant
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academic contributing to team teaching into courses across the programme contributing to the graduate programme, supervising Masters and PhD students, and building a strong research portfolio. This is a
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, materials, or closely related) and PhD strongly preferred. 10 years relevant experience with 5+ years leading government-facing R&D programs (DoD/NASA/Service Labs/FFRDC/UARC or prime); experience as PI/co-PI
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and Thermal Systems that specialises in cutting edge Computational Fluid Dynamics (CFD) simulations and modelling. The research strength of the Group lies in the high-fidelity CFD simulations and