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Field
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fluid dynamics, oceanography, physics, applied mathematics or similar field; affinity with coastal simulations; strong skills in Python programming; motivation to cooperate within a dynamic, diverse
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: combining microscopic modelling and simulations (e.g., Brownian dynamics) with continuum approaches (e.g., statistical field theory) to study the macroscopic behaviour of proliferating active systems such as
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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engine dynamometer testing and high-fidelity physics-based modeling, with a focus on the intersection of combustion, fluid, and structural dynamics. Key Responsibilities: Design, execute, and analyze
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
), an internationally renowned laboratory that combines fieldwork, experimentation, and modeling to advance understanding of geological processes, continental surface dynamics, fracture-fluid interactions, and natural
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19 Dec 2025 Job Information Organisation/Company Max Planck Institute for Dynamics and Self-Organization Research Field Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher
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computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness to work within a multidisciplinary group. Demonstrated skills in scientific writing in the form
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applications in fluid dynamics At least 3 publications in specialty journals indexed in relevant databases, corresponding to the project’s topic Specific Requirements The successful candidate will report to
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simulations and computational fluid dynamics will be preferred. Excellent proposal writing and report writing skill Excellent journal paper publication record Self-motivated and able to work on your own and in
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running