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areas: fluid dynamics and heat transfer; multiphase flows; machine learning in aircraft icing modeling; machine-learning base flow control Demonstrated experience with research publications Department
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of Computational Fluid Dynamics (CFD) modeling to a wide range of problems relevant to rotating detonation engines (RDE’s) as well as more fundamental detonation and deflagration processes including deflagration
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or OpenFOAM Demonstrated experience in computational fluid dynamics and design optimization. Proposed Start Date: June 2, 2025 Proposed End Date or Length of Term: May 30, 2026 Number of Months Employed Per
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the CuDisc code (developed in-house at Imperial for modelling dust dynamics and dust-gas interactions, together with radiative transfer, in protoplanetary discs), coupled to N-body simulations of planetesimals
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experience or equivalent Expertise in aerosol microphysics modeling, parcel-model simulation, fluid dynamics simulation, or related computational experience A strong track record of independent research and
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100%, Zurich, fixed-term We are seeking a highly motivated and skilled Postdoctoral Fellow in Microneedle Engineering for Wearable Healthcare Devices to join our dynamic and interdisciplinary
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Equations, Mathematical Physics, Fluid Dynamics, Mathematical Biology, Mathematical Epidemiology are encouraged to apply. Responsibilities for these positions include mathematical research, undergraduate and
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positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Computational Mathematics, Numerical Analysis, Computational Fluid Dynamics, Oceanic and
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chemistry. Extensive experience in membrane development, testing and polymer synthesis, functionalization, modification, are mandatory. Knowledge or mastering computational fluid dynamics software and
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Pohang University of Science and Technology (POSTECH) | Republic, Kansas | United States | 2 months ago
-kinetic systems, quantum-kinetic systems, and mathematical biology from the perspectives of mathematical analysis and machine learning. All researchers working on fluid dynamics, kinetic theory, dispersive