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to make models realistic, and analyzing output from simulation runs using established statistical techniques. Opportunity exists for novel approaches, and you will be encouraged and supported to publish
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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–making it safer, more efficient, competitive, accessible and sustainable. The Fellow will be placed within one of the following OST-R offices: • Bureau of Transportation Statistics • Highly Automated
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. Citizen Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (2 ) Life Health and Medical Sciences (20 ) Mathematics and Statistics (7 ) Affirmation I
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Medical Sciences (51 ) Mathematics and Statistics (11 ) Affirmation I am a U.S. citizen, or I have lived in the United States for at least 36 out of the past 60 months. (36 months do not have to be
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pests and disease in greenhouses and research orchard blocks. Data Management: Meticulous record keeping of experimental data and notes; digitizing data; basic data visualization and statistical analyses
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to: (a) strengthen microbiological, molecular biological, immunological and histological techniques; (b) develop lab protocols; (c) collect and analyze data with statistics Mentor(s): The mentor
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with Linux and R and have good skills in statistics and data summary. Excellent experiences with molecular experiments. Experience in disease or pest evaluation in field or under controlled conditions
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of large population-based and healthcare databases within Division of Diabetes Translation's Surveillance, Epidemiology, Economics and Statistics Branch (SEESB). Under the guidance of experienced CDC
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practical experience in data analysis, scientific writing, oral presentations, project planning, and working on multi-disciplinary teams. Experience conducting statistical analyses with statistical software