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Field
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice
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by engaging in an R&D effort to develop the next generation pressure-assisted cryopreservation system and such other tasks that are assigned to you. Core Responsibilities: Computer modeling
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and focuses on molecular immunology and inflammatory mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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. The ideal postdoctoral candidate will work both independently and in collaboration with members of our lab to work on in vitro cell culture systems and animal models. We are particularly interested in
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to evaluate their therapeutic potential for neurotrauma. We are particularly interested in candidates who have research experience in small animal models related to spinal cord injuries. The applicant is
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Associates with expertise and/or interest in high temperature structural materials, additive manufacturing, non-destructive testing, multi-scale modeling and materials characterization. The ideal candidates
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maintaining a shock tube facility (operational proficiency required)Kinetic modeling proficiency (Chemkin, Cantera), analytical proficiency (sensitivity, rate of production, etc.)Spectroscopic modeling