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Field
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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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causing fluid leakage and metastasis. We are especially interested in the regulation of endothelial cell-cell junctions, and signaling by endothelial growth factor and cell adhesion receptors. For more
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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in
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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For the ERC-funded project RockDeath (Role of Fluids in rock
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 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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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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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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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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opportunity to develop and analyze idealized simulations. Qualified candidates must have numerical modeling experience and a demonstrated record of first-author publication in physical oceanography