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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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finite-element simulation and 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
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, structural, dynamics, etc.) facilitating a fast, rigorous and robust requirements verification process within the MBSE collaborative environment. Your areas of research will be chosen both based on your own
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, Texas Job Type Staff Job Description TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from
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research related to fluid mechanics, structural dynamics, or related fields. Knowledge of experimental testing, calibration procedures, and data analysis for wave-related research. Strong scientific writing
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mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and
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. The successful candidate’s research will involve synergistic collaborations within a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics and
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Modeling System (ROMS), configured for the Arabian Gulf and northern Arabian Sea regions at submesoscale-eddy resolving resolution. We seek candidates with a strong background in geophysical fluid dynamics
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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and simulation aspects across a wide range of fields - from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems