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Candidatus Liberibacter solanacearum and Ca. Phytoplasma pruni Participating effectively within a multidisciplinary and multi-institutional teams Mentor(s): The mentor for this opportunity is William (Rodney
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participate in the design and optimize processes to improve ingredient functionality, create distinctive flavors, and eliminate off tastes. Learning Objectives: You will be able to learn from multi-disciplinary
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or modernization of genomic analytics databases; Evaluation of Apache Hadoop or related technologies for large-scale genomic analysis; Integration of genomic, laboratory, and epidemiologic datasets; Development and
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to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant
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dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant to decision makers. As the Nation's largest water, earth, and
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of your mentor, you will have the opportunity to: Develop bioinformatics skills Learn plant pathology, plant physiology methodology and skillset Learn to collaborate in a multi-disciplinary research group
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that kill Varroa mites and/or their vectored pathogens without harming the bees, large-scale field experiments to test candidate treatments under real weather conditions, evaluations of how candidate
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automate document generation. 2. Data Visualization & Analytics Skill in utilizing data visualization tools (such as Power BI) to ingest operational data and design interactive, multi-tiered dashboards