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, Mechanical Engineering, Materials Science and Engineering, Electrochemistry, Physics, Applied Mathematics, or a closely related field. Demonstrated experience in computational modeling and simulation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with
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materials research in collaboration with industry leaders. Combine chemistry, mechanics, and computation in a multidisciplinary team. Access cutting-edge experimental and modeling facilities. Contribute
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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electrocatalysis: The research involves the application and development of ab initio methods, molecular dynamics and kinetic Monte Carlo simulations to model electrocatalytic oxidation and reduction reactions
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systems, surface/material models, clinically relevant inocula, synthetic communities) and the integration of microbiome omics (16S/shotgun metagenomics and functional profiling) to mechanistically study
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building