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across two sponsored projects, including: developing and applying statistically based calibration, audit, and validation procedures for automated pavement distress data collection systems; evaluating and
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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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PET resins and develop simple models through conventional statistical analysis methods to be able to screen PCR PET resin material to enable its use in industrial packaging applications. In
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. The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and
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science Required Experience • Training in behavioral science research methods and statistical analyses. Experience with statistical software (preferably R, others acceptable) Desirable Education and/or
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and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire
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statistical analysis, and preparation of figures or research summaries. Experience training, supervising, or supporting students, research assistants, or other junior laboratory personnel. Ability to work
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to develop models and insights that inform decisionmakers from the local to the national scale. The candidate will employ appropriate theoretical perspectives and statistical methods, including
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Employ appropriate statistical analyses to evaluate empirical observations and model outputs Contribute to lab and institute professional activities Publish research findings in peer-reviewed journals
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using rodent models. Experience with neurobehavioral testing and analysis. Experience with molecular and cellular biology techniques. Experience with experimental design and statistical analysis