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Field
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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics
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of the Adaptive Hydraulics (AdH) framework, as well as advancing high-fidelity computational fluid dynamics (CFD) methods for free-surface and multiphase flow simulations. Activities may include improving and
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Engineering, Applied Mathematics, Computer Science, or a related field, with a strong research record in Computational Fluid Dynamics Proficiency in advanced computational methods (reduced order modeling, PDEs
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Work group: nstitute of Active Polymers Area of research: Scientific / postdoctoral posts Starting date: 06.03.2025 Job description: Computational Fluid Dynamics Developer Reference code: 50134860_2
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Berlin. Computational Fluid Dynamics Developer Reference code: 50134860_2 – 2025/PL 1 Commencement date: as soon as possible Work location: Teltow Application deadline: April 2nd, 2025 The department
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) position in Computational Fluid Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both
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Are you looking to apply your expertise in Computational Fluid Dynamics (CFD) or AI-driven manufacturing in a dynamic industry setting? The University of Leeds and Morvern Group Ltd. have an
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
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Job Description Apply now Req Id: 34197 Job Title: Post-Doctoral Research Assistant - Computation Fluid Dynamics, CIVS City: Hammond Job Description: Job Summary Purdue University Northwest (PNW
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on the use of state-of-the-art Computational Fluid Dynamics (CFD) to diagnose the air quality status of those spaces (presence of pollutants, ventilation, humidity) and to propose measures to improve it. Such