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Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) ORISE GO The ORISE GO mobile app helps
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) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science & Engineering-related (2
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) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Social and Behavioral Sciences (1 ) ORISE GO The ORISE GO mobile app helps
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, farm or greenhouse environment Basic understanding of data tabulation and statistically analysis using computers and software packages Experience in optimization of specialized equipment and automated
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data visualization tools. Gain experience with metrics and statistical analysis. Learn to employ industry standard techniques to implement IT systems. Gain experience using security compliance
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also receive training in use of Excel spreadsheets, PowerPoint, Visio, and plotting and statistical analysis using various software platforms. Learning Objectives: Under the guidance of a mentor you will
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USDA-ARS High-Throughput In Vitro Screening of Antimicrobial Compounds Against Phytoplasma in Cherry
diagnostic dataset outputs using statistical tools and software to compare treatment efficacy and phytoplasma titer reductions over time. Scientific Communication & Collaboration: Collaborating with
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) Mathematics and Statistics (1 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from application, to offer, through your appointment and even as
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watershed modeling Experience with analysis of geospatial data and time series data Experience with machine learning and statistical learning Experience with large, diverse datasets Familiarity with
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the past five years. Preferred skills: Applicants should also have experience in using in some sort of genomics, bioinformatics, or advanced statistical analyses. Strong applicants will have experience in