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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
for model noise can fundamentally disrupt the corresponding fluid dynamics models, leading to unrealistic properties. Rigorously justified methodologies for deriving stochastic dynamics models have been
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
ground. Ad-hoc choices for model noise can fundamentally disrupt the corresponding fluid dynamics models, leading to unrealistic properties. Rigorously justified methodologies for deriving stochastic
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. Candidates with expertise in aerospace structures and mechanics are encouraged to apply. Areas of interest include, but are not limited to, structural and nonlinear dynamics, aeroelasticity, fluid-structure
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, conferences and research forums. Experience in computational fluid dynamics, producing high-quality research outputs and contributing to industry or government funding opportunities will position you strongly
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parameterizations. Job Requirements REQUIRED: PhD in geosciences, statistics, physics, engineering, or a related field at the time of the appointment; PREFERRED: Strong background in fluid dynamics, turbulence, and
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/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics and/or magnetohydrodynamics Radiative transfer in
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Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Background: PhD in aeroacoustics for wind turbines. Required knowledge: Computational Fluid Dynamics
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sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics to test hydrodynamic hypotheses related
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computational fluid dynamics, producing high-quality research outputs and contributing to industry or government funding opportunities will position you strongly for success in this role. To be successful in
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collaboration, reproducibility, and research infrastructure across a project team of internal and external collaborators and consultants spanning clinical trials, imaging, fluid and digital biomarkers, database