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the intersection of plant pathology, microbiology, molecular biology, and computational biology. The research focuses on understanding the population dynamics of fungal communities throughout the growing season and
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cardiovascular and metabolic diseases. Currently, we are studying mitochondrial calcium signaling and how it is altered in heart, liver, and kidney failure. Our research employs techniques in molecular and
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
knowledge of the molecular dynamics simulations, polymer physical chemistry, and data analysis, Linux operating systems, programming skills and scripting, all of which could be obtained during
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well as with theoretical researchers specializing in atomistic simulation, density functional theory (DFT), and ab initio molecular dynamics (AIMD). The successful candidate will also engage with collaborators
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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. The individual must be highly motivated and able to work independently as well as part of a dynamic team. Experience handling rodents (rats and/or mice), conducting rodent behavioral analyses, tissue dissection
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
analyzing molecular dynamics (MD) simulations to understand water and solute transport through highly crosslinked polyamide systems. The postdoctoral researcher will study polymer chemistry, crosslinking
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, electrocatalysis, and/or battery technologies. Experience in molecular dynamics simulations (including AIMD). Experience with machine leaning interatomic potentials. Strong programming experience with PyTorch
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preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics