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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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techniques (e.g., SEM, XPS, ICP, XRD, TEM, or similar) evidenced by data collection or analysis in publications/reports. • Knowledge of corrosion science, demonstrated by coursework, thesis/dissertation
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and distribution systems, including unit load design and supply chain efficiency. • Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and
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elements • Design and perform long-term laboratory testing on thermally modified wood CLT assemblies with various protective coatings. • Collect, process, and analyze experimental data; prepare technical
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of the appointment with a minimum of one year of eligibility remaining; Experience in collecting, managing, processing, and analyzing large datasets; Outstanding database management and analytics skills, including
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stress contagion and collective motion, as well as survey data of emotional states and personality metrics. Modeling efforts will focus on agent-based approaches, which may include both simulation studies
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collection is required. The candidate is expected to have a strong record of publications in peer-reviewed journals and conference presentations. The successful applicant will operate equipment to carry out
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including proper handling of mice behavior, stereotaxic surgery, physiology, molecular works, data collection, and data management. • Experience with data analysis using Matlab, Python, and/or other