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and apply advanced analytical frameworks--including geospatial statistics, machine learning tools, air quality modeling, and source apportionment techniques--to interpret air pollution observations and
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Sciences, or a closely related discipline. Essential experience includes numerical modelling of thermal or fluid systems, experimental design and data acquisition, and a strong track record of high-quality
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the hydrogeology of volcanic and basement aquifers. - main mission: The recruited researcher will contribute to the development and implementation of numerical flow and transport models to improve the understanding
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battery fire model development. Proficiency in C, C++ and Fortran etc., programming languages, numeric and analytical skill. Good written and oral communication skills We regret to inform that only
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; GIS; environmental data analysis; machine learning; numerical modelling; tracer experiments; dispersion and mixing. DESCRIPTION (topic, expectations, comments): We are seeking a researcher holding a PhD
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the dynamic rate of mass transfer across the interface. This project primarily consists of theoretical modeling and numerical simulations. However, a strong coupling will be maintained with
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physics. Analytical and numerical calculations/ Laboratoire Jean Perrin theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-005/Candidater.aspx Requirements Research
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and generous family tuition benefits. The teaching load for this position is five course sections per academic year. The Freeman College embraces the teacher-scholar model. Our new colleague will show
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for trainees and staff. The ideal candidate will be an accomplished leader who models the highest standards of professionalism and integrity, has the vision to support and expand an existing interdisciplinary
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field