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analyzing and interpreting experimental data to drive product innovation, as well as obtaining and calibrating simulation parameters based on laboratory results. Regular interfacing between experimental and
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engineering, or a related discipline completed within the past five years. Research experience in machining science, machine tool dynamics, machine tool error compensation and modeling, CNC system design, and
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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disciplines. Hands-on experience designing, synthesizing, fabricating, characterizing, and evaluating materials for separation applications. Research experience in one or more of the following areas: membrane
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) Fixed-effects panel models Matching methods (PSM, CEM, nearest-neighbor) Regression-based normalization Longitudinal and cross-sectional data analysis. Experience working with large administrative
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laboratory experiments, analyze quantitative data, and effectively communicate scientific results through publications and presentations. Major Duties/Responsibilities: Perform molecular genetics, synthetic
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, radio-HPLC, potentiometric titrimetry, UV-vis spectroscopy, NMR spectroscopy, mass spectrometry, and single-crystal X-ray diffraction. Take ownership of research projects, including experimental planning
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passionate about leveraging their experience to enable real-world, quantifiable impacts across a variety of U.S. industries including chemical production, forest products, and critical minerals. The candidate
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA