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Experience in computational methods and statistical analysis. A track record of both independent initiative and effective teamwork. Clear argument for alignment with career trajectory/goals. Additional
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Experience in computational methods and statistical analysis. A track record of both independent initiative and effective teamwork. Clear argument for alignment with career trajectory/goals. Additional
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Life Sciences encompasses a similar number of students and faculty, emphasizing agricultural and life sciences. The Dyson School houses a top-ranked undergraduate business program and graduate programs
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Life Sciences encompasses a similar number of students and faculty, emphasizing agricultural and life sciences. The Dyson School houses a top-ranked undergraduate business program and graduate programs
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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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Life Sciences encompasses a similar number of students and faculty, emphasizing agricultural and life sciences. The Dyson School houses a top-ranked undergraduate business program and graduate programs
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Requirements PhD in Microbiology or related field Required skills Substantial experience with microbiome data analyses Ability to write code in R and Python Proficiency in bioinformatic/computational/statistical
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/computational/statistical analysis of multivariate data integrating microbial community metrics with continuous and categorical data Ability to design and implement complex experiments with microbes, soils, and
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of the North American Bat Monitoring Program (NABat), collaborating with partners from the U.S. Geological Survey and the U.S. Fish and Wildlife Service. The project builds on a strong foundation of
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informatics-analytics approaches to solving urban infrastructure and its associated environment/health/economics and management problems. The CUTES research group brings together a world-class