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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are currently seeking a PhD Candidate to join our
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference
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(or equivalent) in Civil, Mechanical, Chemical Engineering or related fields. Experience or strong interest in structural mechanics, finite element modelling, computational simulation and experimental test
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model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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transitions, flow dynamics, stratification) inside thermal storages containing PCMs? How can we describe via validated multi-physics simulation models; heat transfer, flow behavior, and phase changes? Your task
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 19 hours ago
: RACoordinator.HRB@nrc-cnrc.gc.ca Telephone: 613-993-9101 Toll-Free: 1-877-NRC-CNRC or 1-877-642-2672 Closing date: There is no set deadline as this program is an ongoing process For more information on career tools
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2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number ISOP DC14_V2 Marie Curie Grant Agreement Number 101073266 Is the Job related to staff position
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic