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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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://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high energy physics is required by the start of the appointment. Candidates also should demonstrate a strong record of accomplishment in data analysis and
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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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, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in
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of Prof. Ariel Ortiz-Bobea (Dyson) and in coordination with Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource
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Requirements A PhD in Biochemistry, Molecular Biology or Cell biology. A requirement for the position is evidence of peer-reviewed publications in a related field, and general enthusiasm for science. Skills
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Division of Time Lab Research: 40% Field Research: 20% Writing: 20% Train/Supervise: 20% Requirements A PhD in a relevant field (plant pathology, plant breeding, microbiology, ecology, or similar field
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Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy physics is required by the start of the appointment. Candidates also should demonstrate a strong record
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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, and publications in cultural heritage science for a wide range of audiences, including the general public, Cornell students, and museum professionals Essential Qualifications: PhD in Chemistry