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publications. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work independently and collaboratively in an interdisciplinary research environment
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or engineered systems. • Extensive training and experience with PFAS analysis and LC-MS/MS instrumentation. • Strong scientific writing skills. • Competency in programming and statistical analysis for advanced
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applied economics, economics, data science, econometrics, statistics, computer science, operations research, public policy, or a closely related field (candidates with expected completion dates prior
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collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis
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statistical and mathematical modeling. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Research in mathematical
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and presenting at professional conferences. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work both independently and collaboratively in