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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and
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. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
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University is seeking a motivated Postdoctoral Associate to join our new and growing group. Research in the Yang Lab explores how mRNA translation drives dynamic cellular responses to nutritional and dietary
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Learning Interatomic Potentials; Molecular Dynamics; Atomic Vibrations; Lattice Dynamics Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel
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institutional shared resources devoted to translational science, in a collaborative project team environment. The applicant must have a strong background in computational chemistry, including molecular dynamics
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assays Perform molecular biology techniques (e.g., library preparation, RNA handling, PCR amplification, etc.) Operate and maintain laboratory equipment and ensure high-quality experimental output
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there are legal requirements, such as a license, certification, and/or registration. Additional Requirements Expertise in ab initio molecular dynamics, density functional theory and high-performance computing
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biophysical methods for multicolor and dynamic biological imaging at the molecular scale. Our work focuses on capturing cellular dynamics by cryo-vitrifying samples after defined time delays following
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University is seeking a motivated Postdoctoral Associate to join our new and growing group. Research in the Yang Lab explores how mRNA translation drives dynamic cellular responses to nutritional and dietary
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requires computationally expensive modeling approaches such as molecular dynamics simulations (MD), computational fluid dynamics (CFD) to understand how porous structures and operating conditions can impact