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processes. We use an interdisciplinary approach combining biochemistry, genetics, cell, molecular and computational biology and functional genomics as key tools to tackle these exciting questions. The Lab
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Allison Godwin, a tenured engineering education faculty member in CBE, and Professor Alexandra Coso Strong, a tenured engineering education faculty member in CBE and the Systems Engineering Program. The
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Professor Allison Godwin, a tenured engineering education faculty member in CBE, and Professor Alexandra Coso Strong, a tenured engineering education faculty member in CBE and the Systems Engineering Program
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at CHESS (CHEXS, an NSF-supported program) and the Macromolecular Diffraction Facility of the Cornell High-Energy Synchrotron Source (MacCHESS, an NIH-supported National Resource) and will involve
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-supported program) and the Macromolecular Diffraction Facility of the Cornell High-Energy Synchrotron Source (MacCHESS, an NIH-supported National Resource) and will involve collaborative projects and beamline
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, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2) integrate crop, hydrologic, and GHG/energy models to quantify trade-offs
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial