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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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, experience with Discrete Element Method or similar simulation software, and knowledge in Computational Fluid Dynamics. Additional experience in process control systems, industrial optimisation, and technology
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mechanics, aerospace structures, laminated composite materials, computational mechanics, machine components design, aerodynamics, computational fluid dynamics, aircraft design and aircraft optimal design. To
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and maintaining a team dynamic that encourages open communication and mutual respect. SUPERVISION RECEIVED: Program Chair, Department Chair, or Dean SUPERVISION GIVEN: None Minimum Qualifications: A
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- 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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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 The objective of this post-doctoral research is to
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- 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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will join the growing team of researchers on the ERC project CONTEXT, working at the intersection of scientific machine learning and fluid dynamics, under the supervision of Anh Khoa Doan. You will also