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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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interfaces and defects. This research will combine electronic structure methods, artificial intelligence, and data-driven techniques to understand and engineer novel materials for next-generation
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offers a Bachelor of Science in Computational and Data Science. This program integrates data analytics, modeling, and scientific computing to prepare students for careers in industry, government, and
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Researchers in AI-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials
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dynamic research environment with access to state-of-the-art computational infrastructure, including high-performance computing clusters for molecular simulations and data-driven modeling. Additional
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Associate in the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials
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Associate in the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials
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Brown University School of Engineering | Providence, Rhode Island | United States | about 2 months ago
interests including, but not limited to: Quantum Materials & Devices: Design, synthesis, and multiscale modeling of materials for quantum computing, light-driven phenomena, advanced sensing, and
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Associate in the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials
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infrastructure, including high-performance computing clusters for molecular simulations and data-driven modeling. Additional support includes access to software licenses and collaborative opportunities