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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two
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to study and model decision and judgment variability (i.e. noise). The scholar must be ready to conduct research including laboratory studies and simulations, assist in constructing computational cognitive
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. • Experience preparing research publications, technical reports, or project documentation. • Programming, modeling, simulation, system development, or data analysis • experience using tools such as Python