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(GSI) systems for urban communities. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from
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celebrating a community that includes people of all ages, genders, abilities, races, ethnic origins, religions, socioeconomic statuses, sexual orientations, creeds, and political views. Duties and
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the fall and “Moderns” in the spring. ACS enrollment is capped at 17. ACSP cultivates a community of instructors dedicated to meeting the perennial and changing needs of our students through an ongoing
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execution and management. They will oversee data analysis, and present research findings in written reports and oral presentations to funding agency, project partners, and the scientific and broader community
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, project partners, and the scientific and broader community. They will also prepare manuscripts for submission to referred journals using existing and new data sets. The fellow will pursue additional
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independently and communicate proactively. The individual must be highly motivated with strong written and oral communication skills. Preferred Qualifications: Physical Requirements and/or Unusual Work Hours
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organizational and communication skills the ability to work independently and communicate proactively The individual must be highly motivated with strong written and oral communication skills. Preferred
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engineering, civil and/or environmental engineering or closely related field good organizational and communication skills the ability to work independently and communicate proactively The individual must be
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functionalization, and characterization (FT-IR, XPS, TEM); a strong track record of refereed journal publications; and the ability to work independently and communicate proactively. The individual must be highly
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transportation data analysis, network modeling, dynamic traffic assignment and simulation. Demonstrated experience in programming and statistical analysis platforms such as Python, R, and Java. Good communication