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discovery areas where consumer and industrial needs are unmet and value the use of domestically grown cotton. The Cotton Quality and Innovation Research Unit (CQI) will approach this problem by identifying
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to the development of new data collection and analysis approaches for emerging technologies. Participants will be immersed in experimental science, with opportunities to contribute to experimental design and execution
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Education (ORISE) participant, you will join a community of scientists and researchers to conduct research related to the electric propulsion of transport aircraft. Your research activities will be designed
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fungal ecology, physiology, and genetics. Experimental Design: You will gain experience in hypothesis-driven experimental design. This will include selection of biologically relevant treatments to assess
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expected to learn both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and
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plants. The participant will learn and use multiple molecular biology, synthetic biology and plant biotechnology related tools and techniques including plasmid vector design and assembly, plant genetic
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the ability to design, implement, and document Bayesian and machine learning models to predict abundance, prevalence, and disease risk, demonstrating understanding of model selection, assumptions, and
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veterinary importance. Under the guidance of the mentor(s), the fellow will contribute to the design, implementation, and data analysis of field-based research on new world screwworm and mosquito-borne
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, data collection, analysis, and QA/QC for existing measurements as well as development of data collection and analysis procedures for a suite of new instruments. You will also gain experience in designing
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. Citizen Degree: Doctoral Degree received within the last 48 months or currently pursuing. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer