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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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at the Anschutz Medical Campus in Colorado with high-profile output. We have a lively lab atmosphere and high-quality trainee mentoring. We have numerous opportunities for collaborative, interdisciplinary research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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/or projects with preference to those involving modeling utility systems. Demonstrated project work / capabilities in numerical modeling, data analysis with background in quantitative hydraulic
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 21 hours ago
. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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for success in this role. To be successful in this position, you will have as a minimum: A PhD qualification and experience relevant to numerical modelling of fire dynamics, fire safety, gas dispersion, and
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of experimental methodologies for the characterization of conducted electromagnetic disturbances in the radio-frequency range. Numerical, analytical, and distributed-parameter circuit models will also be developed