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CHESS sub-facilities, the NSF-funded Center for High-Energy X-ray Sciences at CHESS (CHEXS, an NSF-supported program) and the Macromolecular Diffraction Facility of the Cornell High-Energy Synchrotron
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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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needed. Term of position This is a one-year appointment renewable contingent upon satisfactory performance, available work and funding. Requirements Ph.D. in statistics, computer science, or a related
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achieve this by producing scientific, computational, and big data resources that transform how we understand and protect the world around us. The Cornell Lab is home to a vibrant community of several
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contingent upon satisfactory performance, available work and funding. Requirements Ph.D. in statistics, computer science, or a related field Ability to develop, adapt, and apply quantitative methods to answer
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for the AFRP, this position entails a wide variety of tasks that must be scheduled dynamically to meet program and partner needs. Scientific insight and innovation: 35% This position must function as a high
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to enhance the information and decision-making tools available to conservationists and scientific researchers. We achieve this by producing scientific, computational, and big data resources that transform how
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planning, conducting, and reporting original research on the ecology and management of fish populations in Adirondack ecosystems, as part of the Adirondack Fishery Research Program (AFRP) team. The mission
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of methyl jasmonate resistance to seed corn maggot. The technician will assist the PI, Jennifer Thaler, postdocs and graduate students performing lab and field research with an emphasis on bioassays with seed
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, postdocs and graduate students performing lab and field research with an emphasis on bioassays with seed corn maggot flies and larvae in the lab and at Cornell research sites, data entry, extracting data