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Field
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health products, e.g. toothpaste. The simulations will utilize molecular dynamics and first principles DFT codes to model enamel surfaces and their interactions with the environment of the mouth. You will
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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network from high-impact, low-probability crisis events. This project addresses critical challenges in dynamic modelling, DT federation, and decision support to help stakeholders manage crises ranging from
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sensing research in a coastal location. • Design and conduct physics-based hydrologic modelling and hydraulic simulation in the coastal environment. • Conduct field experiments in the coastal
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
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of stress intensity factor evolution at the crack tip. Concurrently, a numerical model will be developed to complement the experimental results and allow for the calculation of crack propagation rates. Work