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Field
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giant viruses in particular Preferred Qualifications Experience working with cultures of bacteria/algae/viruses Experience with a coding language (preferably Python or R) and working with bioinformatic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
experience with R or Python is required. They will also evaluate research results for validity and reliability and oversee project progress. Finally, they will help develop research papers, presentations, and
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evolution, genomics, plant biology, microbiology, or a related field. Computer Skills High performance computing including experience with R, python, and/or general experience with command line coding and
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The Chen lab in the Department of Pharmacology and Toxicology at R. Ken Coit College of Pharmacy, University of Arizona is seeking a postdoctoral fellow to investigate molecular mechanisms underlying
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of clinical and multi-omic data to uncover microbiome–host relationships -Experience with Python/R and cloud computing required Ideal candidate: A computational biologist or bioinformatician with strong
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related discipline. Preferred Qualifications: Research experience in environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal
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environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively
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. Desired: Experience with R coding; strong verbal and written communication skills; prior experience working with or mentoring undergraduate students. Location: Hitchcock Hall (0274) Position Type: Term
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interferometric detectors at Hanford, Washington and Livingston, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the astrophysical
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages