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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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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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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
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-processing pipelines for image and chemical-sensor data. Proficiency in scientific programming and data analytics with Python, OpenCV, and MATLAB, along with experience in deep learning frameworks such as
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. DARS is actively evaluating innovative omics technologies and analytical approaches to develop biomarkers that can serve as qualified regulatory tools, supporting standardized endpoints for drug
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. Learning Objectives: Under the guidance of a mentor, you will be able to learn to: apply artificial intelligence, statistical modeling, and agricultural data science, develop methods in predictive analytics