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Qualifications: Experience with analyzing multi-wave longitudinal and intensive longitudinal data, including survey and biomarker data from measurement burst designs. Evidence of independent scholarship, including
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, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing multi-wave longitudinal and intensive
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. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
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Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a
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experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing, troubleshooting, and
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating