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implementation or comparable tools. Experience with one or more relevant methods, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy
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systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics and mathematical approaches to signal analysis
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vibration control, with demonstrated expertise in stochastic dynamics or random vibration, computational modeling, and experimental validation of mechanical systems. The successful candidate will work closely
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optimization models for electric vehicle fleet charging planning. Activities: • Apply operations research methods (linear and mixed-integer programming, dynamic optimization, stochastic optimization) • Integrate
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
, or similar software. • Knowledge in SPARTA (Stochastic PArallel Rarefied-gas Time-accurate Analyzer) and DAC (DSMC Analysis Code), or similar tools. Point of Contact Mikeala Eligibility Requirements
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Stochastic Processes. Expertise in numerical simulations (with Matlab or Python) as well as basic knowledge of neural nets will be valued but not required. Additional Information Applicants must complete
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Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months ago
meteorological processes and flood risk concepts Experience in statistics, particularly extreme value statistics, and stochastic simulation Knowledge in using stochastic weather generators Experience with climate
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physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and biological physics. The intended start