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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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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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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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experimental data. This position is in the Metallurgy and Advanced Microscopy group within the Materials Science Division. You will Develop and validate a multiscale simulation framework for virtual X-ray
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materials) to apply for a Postdoctoral Research Fellowship. The successful candidate will work with simulation and experimental teams to design, model, conduct, and analyze data from ring and cylinder
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will design, implement, and evaluate AI methods that couple data-driven learning with scientific principles, constraints, ontologies, knowledge graphs, simulations, and experimental feedback. This