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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
and good knowledge of opensource development practices; • solid understanding in at least one of the following areas: numerical methods, computational modeling, machine learning or continuum mechanics
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health, materials, and others. The School of Life Science and Technology (SLST) invites applications for numerous tenure-track and tenured positions across all ranks in several academic disciplines
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, physics, materials science, or Civil Engineering. For PhD 1, strong skills in numerical modeling (DEM, Python/C++) and an interest in computational mechanics are expected. For PhD 2, experience in
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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. Sijing Shen. The research work will be focused on numerical galaxy formation and the interactions between galaxies and their environment. In particular, the successful candidate will be involved in the ESA
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the model to constrain future calving losses from the Antarctic Ice Sheet. Candidates are expected to hold a PhD in glaciology or related discipline, including experience of remote sensing and/or numerical
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experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty