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analyzing and preparing data for presentation 10% of the employee’s time will involve the mentoring of undergraduate or graduate students 10% of the employee’s time will involve professional development
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library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected to summarize and present results both within the lab and at
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at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful
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articles and present results at scientific meetings. (30%) Assist in the development of proposals for external funding for research projects. (5%) Requirements A PhD degree in physics, chemistry, synthetic
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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variants as functional and assess their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in
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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 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
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oversight of pathogen inoculation, disease phenotyping, and data quality across locations and seasons. The Postdoctoral Associate will lead data analysis, synthesis, and interpretation across microbiological
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museum professionals Essential Qualifications: PhD in Chemistry, Materials Science, Physics, or a related discipline is required by the start of the appointment Experience with x-ray techniques, such as x