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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites
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can easily use the setups. The researcher will use the set-ups to analyze the LCE precursor flow, also comparing with results from simulations and theory, and continuously revise and improve
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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary The postdoctoral fellow will be responsible for the preparation of polymers and advanced functional materials
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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | about 1 month ago
references, and a copy of two relevant publications. Applications should highlight their interest in the available positions of either developing gel/polymer electrolytes or chemo-mechanical instabilities
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic
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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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founded in 1906 and named after its emphasis on the study of metals. Since then, our field has broadened to include all classes of materials from ceramics and polymers to semiconductors and biological
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing