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Field
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
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consequences on reactivity measurements during source transients; • Calculation of the sensitivity of the results obtained by simulation to data libraries, modeling choices, and technological uncertainties
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise
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: Chetelat, B., Gaillardet, J., Chen, J.Bin, 2021. Dynamic of boron in forest ecosystems traced by its isotopes: a modeling approach. Chem. Geol. 560, 119994. https://doi.org/10.1016/j.chemgeo.2020.119994
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 23 days ago
from the surface or the coast into the interior ocean Test Lagrangian tools and contribute to their development Conduct model simulations covering the recent decades and the future Present project
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of the forest radiative transfer modelling to simulate LiDAR signatures Lead publications in peer-reviewed journals This position is part of an international research project together with BOKU Wien and GFZ
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assimilation frameworks for high-dimensional dynamical systems. Strong skills in modeling, simulation, and Monte Carlo analysis for aerospace systems. Ability to integrate estimation algorithms into closed-loop
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely