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for a candidate with a PhD degree (or completion expected within 2-3 months) in Civil/Environmental Engineering, Environmental Science, or a related field, preferably with expertise in large-scale
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with
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Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with
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field and lab experiments Data analysis and writing: 30% • Translate statistical data and apply results • Publish research results in peer reviewed publications Undergraduate mentoring: 10% • Train
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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in establishing a research program linking field-based disease biology with genomic pathogen surveillance and pangenome scale analysis of fungal pathogens of agricultural crops. Anticipated Division
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appropriate in the lab and field. This position will be funded by USDA NIFA Agricultural Microbiome Program. The individual will need to have the ability to drive to field sites in Geneva in order to collect
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on satisfactory performance and funding. Requirements ● PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. ● Experience with R and other
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Postdoctoral Fellowship in Theoretical Condensed Matter Physics. This prize fellowship is designed to attract the best and brightest theoretical physicists within 3 years or their PhD to work with theorists and