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Field
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile Established
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
geophysical modeling. A wide range of research is possible, from the analysis of existing lunar datasets, to the development of new modeling approaches, and to simulations of possible future measurements
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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a highly motivated Postdoctoral Researcher in Process/Chemical Engineering to contribute to advanced research in experimentation, modeling, simulation, and optimization of chemical processes
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
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. Depending on the candidate's background and interests, the project may also involve acoustic hardware, numerical simulations, phantom development, and translation of the resulting methods toward biomedical
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which wind-farm-induced changes in the atmospheric flow and boundary-layer structure can affect precipitation. Targeted simulations with and without wind-farm effects will be used to quantify
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environment agriculture Biorefinery process design, simulation and optimization Life cycle assessment on food, agricultural, and/or biological systems Additional duties include: (i ) Developing research
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assets include strong programming skills, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and