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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
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carbon cycle dynamics, paleoclimate, and fluid-rock interaction. We seek individuals with research programs who can bridge existing research foci in hazards, energy, resources, and climate within
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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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
Website https://jobs.inria.fr/public/classic/en/offres/2026-10308 Requirements Skills/Qualifications The candidate should have a solid background in applied mathematics and in fluid dynamics dynamics. He
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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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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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Statistics, as well as MS in Mathematics and MS in Data Science and Analytics. Current research interests in the Applied Mathematics group include: Fluid Dynamics, Biomathematics, Nonlinear PDE’s, Symmetries
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The University of Manchester has a strong history of research into offshore renewable energy, with leading international activity in wave hydrodynamics and computational engineering. We are here
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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