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of computational fluid dynamics (CFD). Mastery of applied mathematics and numerical methods. Resolution and discretization of partial differential equations (PDEs) and the algorithm applied to the simulation
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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scale and reactor scale will be conducted, including the analysis of local and global fluid-dynamic parameters. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
Simulation Laboratory (https://griffith.web.unc.edu). This position would support projects on (1) cardiac digital twins for heart failure and/or (2) cardiac fluid dynamics simulation software development in
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process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background in the area of Computational Fluid Dynamics. Familiarity with response surface
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addition to numerical simulations using models based on fluid-dynamics, research employing mathematical, statistical or machine learning method, as well as experimental research using the facilities at the Ujigawa Open
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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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properties of the fault zone, or processes driven by fluids and chemical reactions. The ultimate goal is to reduce uncertainty regarding the presence, geometry, and dynamics of hydrogen-generating zones, and
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, machine-learning methods for scientific discovery. Advanced command of fluid dynamics, acoustofluidics, multiphase/interfacial transport, and applied mathematics. Ability to formulate and solve governing
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, and industrial partners, will provide interdisciplinary training spanning chemical and mechanical engineering, computational fluid dynamics (CFD), experimental combustion diagnostics, and techno