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team works on projects that examine and transform the interconnections, structures, and transition points that are critical to creating effective learning and work systems within engineering. The
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. This sponsored research project includes collaborators from institutions across the U.S. to examine 10 proposed solar projects to determine how solar siting processes can be accelerated while reducing community
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. This position will also require the development and maintenance of transgenic animals that will be used to examine the evolution of cell identity within and across species. Anticipated Division of Time General
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mixed-methods social science research on solar facility siting processes in New York State. This sponsored research project includes collaborators from institutions across the U.S. to examine 10 proposed
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for assaying protein function in non-model organisms at different life stages. This position will also require the development and maintenance of transgenic animals that will be used to examine the evolution
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ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
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ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
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agrivoltaics developments in New York State. This sponsored research project is part of a larger interdisciplinary team and will examine up to 8 proposed agrivoltaics (dual use ag-solar) projects in New York
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agrivoltaics developments in New York State. This sponsored research project is part of a larger interdisciplinary team and will examine up to 8 proposed agrivoltaics (dual use ag-solar) projects in New York
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work with PI Emery and other members of the team to assist NY growers in testing decision-support tools in commercial vineyards, investigating the relationship between Drosophila populations, fruit