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funding. Anticipated Division of Time Research & Tool-building (60%) – Geospatial/RS analytics; model design and validation; reproducible workflows. Stakeholder Collaboration (20%) – Co-develop decision
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Responsibilities: Develop and implement bioinformatics pipelines for processing and analyzing data. Integrate multi-omics datasets to identify regulatory networks and biomarkers of cancer. Collaborate to design
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of Time • Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing
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to develop, design, and implement active learning techniques in larger courses (no more than two per semester), participate in the college-wide ALI program, including attending weekly ALI fellows’ meetings and
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longitudinal data, including survey and biomarker data from measurement burst designs. Evidence of independent scholarship, including a track record of peer-reviewed publications, and strong interpersonal and
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. Preferred Qualifications: Experience with analyzing multi-wave longitudinal and intensive longitudinal data, including survey and biomarker data from measurement burst designs. Evidence of independent
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gift from Joan and Irwin 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
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to design experiments and interpret results. • Prepare manuscripts for publication and present findings at conferences. • Contribute to grant writing and mentorship of students. Required Qualifications
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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial
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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