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Field
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transport measurements. The work will include planning and conducting experiments, critically analyzing experimental results and performing numerical calculations or simulations where appropriate
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internationally active environment crucial to succes Numerous voluntary social benefits Flex time arrangement Opportunity to work independently and develop personally The minimum annual gross salary
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
with demonstrated expertise in hybrid (kinetic-continuum) numerical methods — particularly through their doctoral dissertation — are especially sought, as these approaches are used extensively (and are
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, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools. Experience with one or more relevant methods
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sensing, poromechanical modeling, and elastic crustal load modeling. Preferred Qualifications Knowledge of Remote sensing of surface water quality, numerical modeling, GIS, leadership and advising skills
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
programming (Python, MATLAB, IDL) with experience in data analysis, visualization, optical raytracing, and simulation software. Ability to develop custom analysis tools. Knowledge of numerical methods
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physics and magnetic-confinement fusion. Demonstrated research experience in computational physics, numerical simulation, or scientific computing, with a track record of publication in peer-reviewed
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the seafloor and sub
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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