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, proteomics). Proficiency in scripting/programming (Python, R, Bash, or similar). Experience with high-throughput sequencing analysis pipelines (e.g., genome assembly, phylogenetics, variant calling
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vivo assays. Efficacy trials: Apply postharvest treatments to fruit and monitor disease incidence, lesion development, and overall fruit quality after storage. Data collection and analysis: Record
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and vegetation monitoring techniques Standard ecological sample processing protocols Data entry, management, and analysis Mentor: The mentor for this opportunity is Susan Cordell (susan.cordell@usda.gov
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collection and data analysis over time tracking the storage study trends investigation of the bacteriophage excipient and its relationship to a mammalian cell culture host model research of mammalian cell
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experience required for design and data analysis. 3.) Communication skills necessary for public dissemination of findings. It is recognized that not all applicants will have knowledge and experience in all
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collection and data analysis over time tracking the storage study trends investigation of the bacteriophage excipient and its relationship to a mammalian cell culture host model research of mammalian cell
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college or university in a desired discipline. Please see full list of disciplines at the end of this announcement. Be a U.S. citizen. Preferred: background with analysis of large-scale data sets. A
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spectroscopy, laser spectroscopy, and laser and spectrometer operation Experience in data analysis, technical paper writing, and presentations Point of Contact Cinnamon Eligibility Requirements Degree: Doctoral
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to extract and predict meaningful information from Army-relevant data. In the course of our research, we will be developing novel data preprocessing and analysis strategies with the dual goals of 1
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battlefield. Problems address the sensing, distribution, analysis, and display of information in the modern battle space. CISD research focuses on four major areas: communications, atmospheric modeling