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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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or electrochemical characterization of materials or devices Experimental design and electrical characterization of device performance and associated data analysis Peer-reviewed publication as first or lead author
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
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test planning, instrumentation (e.g., strain gauges, LVDTs, DIC), execution of large-scale tests, and data analysis. Solid understanding of structural behavior, failure mechanisms, and durability issues
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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experiments, samples from world-unique CO2 experiments, cutting-edge NMR spectroscopy and isotopomer analysis (doi 10.1111/nph.20358). Two postdocs will work together to conduct plant ecophysiology experiments