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the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
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therapeutic strategies. - DNA-protéines complexes modeling - Molecular dynamics simulations of biomolecules - Enhanced sampling techniques (Steered MD, Gaussian Accelerated MD) - HPC resources use - Scientific
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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atmospheric models WRF-Chem and/or CHIMERE, developing new descriptions of primary ice formation from sources such as aviation, wildfire emissions, and mineral dust. High-resolution simulations of selected case
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
. Description: The Ice Sheet and Sea Level System Model (ISSM) is an integral component of the Integrated Modeling Virtual Institute (IMVI), a recent NASA initiative aimed at synergizing models of the Earth
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properties with three-body tight-binding model for the periodic table" https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.7.044603 2) "Magnon-phonon hybridization in 2D antiferromagnet
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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simulation environments (e.g., CARLA). • Domain knowledge in ITS, traffic engineering, autonomous vehicles, robotics, or related areas. • Experience using cloud platforms for training and deploying AI models