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Field
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, posterior sampling, and assessment of convergence and model fit. Proficiency in Python and the scientific computing stack, with experience developing software for scientific, statistical, or numerical
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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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to the mathematics of plasmas, with a focus on kinetic theory and PDEs. - Specific topics include stability, long-time behaviour, and mathematical properties of magnetised plasma models (such as magnetized
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microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave and antenna components using
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 8 days ago
-sensitive modeling, high-fidelity experimental characterization, and uncertainty quantification capabilities for metallic aerospace materials, with emphasis on additively manufactured (AM) metals
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and spoken English. Knowledge of Czech is not required. Experience in one or more of the following areas would be an advantage: gravitational-wave modelling; numerical relativity; cosmological data
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, including periodical/literature search and utilizing specialized skills in spectroscopy and instrumentation to analyze the collected data, with numerical models. ● Participate/assist in manuscript writing
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
research with our colleagues and with scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications