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Field
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, numerical methods, and computational fluid dynamics (CFD), ideally complemented by application in your MSc thesis, research projects, or internships. Have excellent communication skills and command of English
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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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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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in the area of Computational Fluid Dynamics. Familiarity with response surface modeling and optimization, is a plus. Experience using commercial codes like ANSYS-FLUENT is desirable. Qualifications
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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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backgrounds in fluid dynamics, combustion, heat transfer, and solid mechanics. Position Status Full Time Posting Number 26FA0856 Posting Open Date 10/12/2026 Posting Close Date 01/29/2027 Qualifications Minimum
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, power density, lifetime, and reliability, and contribute to the development of thermal and fluid-dynamic models that can be used early in the development process for screening and optimisation before
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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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to improve fluid-dynamical understanding of how magmatic ore deposits form. Such deposits contain critical minerals including nickel, copper, cobalt and platinum-group elements that underpin the global
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research community across a range of domains including Artificial Intelligence, Bioinformatics, Computational Fluid Dynamics, Digital Humanities, Data Science, and other data- and compute-intensive research