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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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work will focus on the modeling and interpretation of transiting exoplanet and host star data from JWST, and the upcoming Pandora mission. The Eyes on the Stars JWST Archival program aims to study host
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g., PIV, LIF). Interest in mentoring graduate
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C
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substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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the Laboratory's collective success. The Division of Chemical & Biological Sciences is seeking a Postdoctoral Research Associate with a strong background in quantum chemistry and molecular modeling. The selected
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appointment, renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering