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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 12 days ago
optical coatings EUV/X-ray instrumentation Scientific detector development Scientific programming and numerical modeling Image processing or data analysis Laboratory instrumentation and experimental methods
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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numerous federally funded research studies spanning topic areas that cover both basic and translational science. The postd doctoral scholar will work closely with their faculty PI to choose their research
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improving the security of modern computer systems. To do that, we often build novel analysis techniques to uncover previously-unknown attack surfaces and when appropriate we design and implement new systems
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field. Demonstrated experience with numerical groundwater modelling, preferably including variable-density flow, solute transport, freshwater-saltwater processes, aquifer storage and recovery
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precipitation and severe weather using theoretical analysis, numerical modeling, and observations. Research topics may include mesoscale atmospheric dynamics, gravity waves, convective systems, tropical and
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of Euclid-DR1 data and, on the other hand, on an analysis of numerical simulations developed within the group. On the observational side, the focus will be on studying, in particular, the correlations between
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precipitation and severe weather using theoretical analysis, numerical modeling, and observations. Research topics may include mesoscale atmospheric dynamics, gravity waves, convective systems, tropical and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
health, water and energy to help Carolina continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission
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autoregressive time series, diagnostics and model comparison, sensitivity and identifiability analysis, intuitive model interrogation methods and calibration when observations are few or conflicting. You will work