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: You will engage in research focused on analysis of microbial degradation and associated biofilms and polysaccharides in sugarcane and sugar beet post-harvest storage and processing. The research will
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site history and community demographics, and coordinate with ATSDR's Geospatial Research, Analysis, and Services Program (GRASP) to develop site-specific maps that identify populations potentially
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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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pathogens such as Alternaria, Cladosporium, Mucor, or Penicillium is a plus. Applied research skills — Strong understanding of applied research, including experimental design, data collection, data analysis
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herbicide resistance mechanisms; and Build robust data analysis skills and enhance scientific writing and publishing capabilities. Mentor(s): The mentor for this opportunity is Krishna Reddy (krishna.reddy
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well as participating in post harvest physical property analysis of harvested peanuts will also be a focus area after plant harvest is completed. Learning Objectives: Under the guidance of a mentor, you will: Learn about
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environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling approaches in R. Emphasis will be placed on building your analytical
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such as systematic literature review, study design exploration, and analysis of environmental health and exposure data related to microplastics, nanoplastics, and associated chemical contaminants
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, clusters, and incidents of potential public health significance. Improve data analysis and epidemiologic skills by training with toxicosurveillance projects, investigations, and applied research activities
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pathology and fungal ecology; (b) microbiome analysis, bioinformatics, and computational modeling; (b) conduct rapid mycotoxin analysis; (c) prepare scientific communication, and manuscripts; (d) design field