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Postdoctoral Research Associate - Manufacturing Optimization Through FEA/CFD Simulations for Polymer
optimization framework for polymer composites through computational fluid dynamics (CFD) and finite element analysis (FEA). The work will also involve sensor data analysis from composite manufacturing equipment
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Postdoctoral Research Associate - Structural Simulation and Machine Learning (ML) for Polymer Compos
manufacturing technologies through machine learning and physics-based simulations, specifically finite element analysis (FEA) for polymer composites. The candidate will also focus on developing a manufacturing
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experience in precision copolymer synthesis, post-polymerization functionalization and polymer processing-structure-property relationships is desirable Excellent written and oral communication skills Motivated
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successfully defended and submitted dissertation by the hire date, earning a Ph.D. in chemistry or a closely-related field. · Must be knowledgeable and experienced in polymer and organic synthesis
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of inorganic sorbents for critical mineral extraction from brines, minerals, and recycled lithium-ion batteries. This position resides in the Nanomaterials Chemistry Group in the Separations and Polymer
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(e.g., surrogate modeling) for the inverse molecular formulation of multifunctional polymers/nanocomposites. Contribute to the strategic planning, execution, and assessment of research initiatives, which
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graduate students, post-doctoral researchers, and other research scientists from both academia and/or industry. Prior experience with chemical and bio-polymer materials characterization techniques. Excellent
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endothermic reactions involving cleavage of C-H and C-C bonds in hydrocarbons including natural gas and polymers. Approaches include both experimental and computational studies of kinetics and reactivity