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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact
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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact
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: Bibliography and identification of the energy system components. Theoretical modeling and simulation of the flow systems. Data analysis. Assisting the PI and the sponsor in grant writing for other funding
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: Product design and improvement, exploring larger scale manufacturing. Theoretical modeling and simulation of the biomimetic system. Data analysis. Assisting the PI and the sponsor in grant writing for other
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of Engineering with many fascinating projects that focus on applying advanced nonlinear theoretical, computational and experimental techniques to solve practical real-world problems in engineering and biomedicine
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to conduct research on two interdisciplinary research projects on transportation, environment, and health. The candidate is expected to work on data integration and fusion, develop theoretical and mathematical