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(CTECH)—a U.S. Department of Transportation Tier 1 University Transportation Research Center dedicated to advancing sustainable technology-enabled mobility for public and planetary health—located in Ithaca
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institutions. · Support for professional development, conference travel, and dissemination. Instructions All applications should be submitted through Interfolio. https://apply.interfolio.com/180524
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group at UNMC focuses on developing advanced computational and AI-enabled tools for radiation biology and medical physics, with strong emphasis on clinical translation in radiotherapy. The successful
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, and advanced hydrologic modeling to projects in flood forecasting, remote sensing data assimilation, hydraulic modeling, environmental flows, and decision-support systems. The role involves developing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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research knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. · Use and continually develop
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Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University
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. This is a place where students learn how to adapt to whatever the future might bring, develop critical thinking skills and expand their creativity. With a choice of rigorous academic programs in 130
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/microcosm maintenance. Ensure research activities align with project timelines and protocols. Data Collection and Measurement Protocols (30%) Develop measurement protocols for ecological and evolutionary
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established free flight wind tunnels equipped with 3D real time tracking, optogenetics, and dynamic visual stimuli (see 2024 Curr Bio paper). Our group has developed a computational framework for quantifying