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and university partners. Through this appointment, you will develop advanced experience in plant genomics, quantitative genetics, and stress-response biology. Image-based analytical techniques using
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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
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will also gain experience analyzing and visualizing trends related to importing infectious biological agents into the United States. Learning Objectives: Gain experience supporting CDC efforts to prevent
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refinement of analytical workflows that support broader studies in postharvest biology, fruit metabolomics, and disease management. Learning Objectives: Through mentorship and applied research training, you
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. Gain experience with analytical techniques that support characterization of biomass and biomass conversion products. Learn how to collect, organize and process data from analytical instruments and
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improvement. Learning Objectives: Under the mentorship of DPS leadership, you will engage in applied learning that strengthens analytic, scientific, and communication competencies. You will participate in a
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interferences. Method evaluation and validation – You may learn to prepare validation plans, assess performance characteristics such as accuracy, precision, analytical measurement range, limits of detection
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, including polyphenols, in rice, soybean, and sugarcane. Activities will include identifying phytoalexins in plant extracts using UPLC-MS (Waters QToF) and isolating individual compounds through analytical and
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goals will be achieved. The research is primarily laboratory based, but pilot plant experiments are also conducted. Learning Objectives: During this appointment, you will have the opportunity to: Learn
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knowledge of birth defects and other infant disorders; apply systematic approaches to conducting literature reviews; learn data management and data-quality methods; enhance quantitative analytic skills using