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Field
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will analyze a series a mammalian fluids/tissue obtain associated with a study looking at the influence of Elderberry extracts on brain function. Qualifications The successful candidate will have a PhD
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of cementitious materials. Experience with X-ray or neutron tomography. Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be part of a dynamic
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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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, 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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, 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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. 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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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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seeking a Postdoctoral Research Associate to assist in the development, qualification, and deployment of Computational Fluid Dynamics (CFD) simulation codes, methods, and standard processes for thermal
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deadline. You also have: Ability to work independently with strategic planning skills Creativity and hands-on problem-solving approach Solid interest in fluid dynamics, with ability in experimental and
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: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment (e.g. Python, Fortran, Matlab, C