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Field
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processes and particle acceleration in geospace. Research activities will integrate observational data analysis, theoretical modeling, and numerical simulations to advance our understanding of magnetospheric
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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Integrate models across platforms and workflows; manage inputs/outputs and ensure reproducibility Analyze simulation and experimental datasets; extract insights and quantify sensitivities and uncertainties
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, visit https://www.biocean5d.org/ . The applicants will work on close collaboration with Jose M. Montoya, from CNRS. - Developing analytical theory and/or simulation models on the relative importance
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related field in hand by May 2026. Preferred Qualifications: Experience in Thermal Spray Materials/Processes/Characterization/Modeling. Experience in Solid Mechanics/Thermomechanics/Finite Element Analysis
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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candidates will have strong past experience in scientific machine learning. Experiences in large language models, molecular modeling and simulations, and/or polymer science are preferred but not required
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simulation (Aspen Plus®); - Experimental experience in reaction systems and process intensification; - Ability to integrate modeling, experimental validation, and techno-economic analysis; - Experience in
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic