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Field
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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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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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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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related field is required, along with a solid understanding of Geophysical Fluid Dynamics. ABD will be considered in a related field. Preferred Qualifications: Experience in numerical ocean modeling is
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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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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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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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Boltzmann method (LBM), discrete Boltzmann method (DBM), and other kinetic models. Solid knowledge of fluid dynamics and heat transfer. Proficiency in programming languages such as C/C++, Fortran, Python
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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
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nanocellulose and graphene suspensions, polymer nanocomposites, hydrogels, adhesives, and various biomaterials (e.g. biofilms, tissues). Dynamics of complex fluids – Our work examines thixotropic yield stress