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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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postdoc to join our dynamic team at PROSYS. The ideal candidate has a strong theoretical and practical background in AI, including experience developing chatbots, virtual labs, and customizing large
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: MPIDS-W086 Job Offer from June 23, 2025 We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with
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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects
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quite heavily. We establish new results concerning the analysis of stochastically driven anisotropic fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk
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, environmental fluid mechanics, or a related discipline. The qualified candidate will work with Dr. Daniel Dauhajre in the Computational Ocean Dynamics and Ecosystems group and have the opportunity to interact
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swimming biomechanics, fluid dynamics, and state-of-the-art fish-detection techniques. Your Duties and Responsibilities: Designing, constructing and testing prototypes of novel gear for the detection
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understanding of flatfish escape behavior and swimming biomechanics, fluid dynamics, and state-of-the-art fish-detection techniques. Your Duties and Responsibilities: Designing, constructing and testing
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coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics, computational fluid dynamics, activation decay codes, kinetic Monte Carlo codes, particle transport