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complementary expertise spanning engineering student learning and identity, faculty development and pedagogy, design- and project-based learning environments, institutional transformation in engineering education
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participatory science focused on birds. The Center for Avian Population Studies (CAPS) and The Center for Engagement in Science and Nature (CESN) are two of the major programmatic units at the Lab. CAPS is
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University seeks a postdoctoral associate to develop innovative approaches to hurricane risk assessment through a new industry-academic partnership. This is a two- or three- year position supported by direct
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Associate position are as follows with time allocation: Organize and analyze large data sets from methane mitigation trials (60%). Lead in-vivo studies to develop novel technologies aimed at reducing methane
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Associate will design and execute experiments, generate and analyze high-throughput sequencing datasets, prepare manuscripts as first author, present findings at international conferences, and contribute
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primary research and related professional activities. The successful candidate will conduct comparative and experimental studies on transcriptomic responses to insect diet and toxins, utilizing the milkweed
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expertise spanning engineering student learning and identity, faculty development and pedagogy, design- and project-based learning environments, institutional transformation in engineering education, and
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circuit platforms. This work includes the development and theoretical study of novel circuit architectures, aimed at improving coherence and enabling new approaches to quantum computation. The Postdoctoral
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Position Description Center for Avian Population Studies & Center for Engagement in Science and Nature Cornell Lab of Ornithology College of Agriculture & Life Sciences Cornell University Ithaca
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with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm models with explicit modeling of soil processes and plant growth. Familiarity with system