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accessions. Build knowledge in plant stress-response and resistance mechanisms and how these inform breeding and genetic-improvement strategies. Gain hands-on experience in plant genomics, plant pathology
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Van der Waals materials to build advanced electronics capabilities for the Army. Potential tasks include design, fabrication, and benchmarking broadband spectral properties as a function of device
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impacts of hazardous waste sites, and builds the capabilities of, and provides guidance to, state and local health agencies. Research Project: ATSDR’s Region 10 Office requests to host an ORISE research
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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components to build scalable digital twins. • Generative AI: Application of Large Language Models (LLMs) to generate synthetic data for digital twins and their role in supporting cyber-physical systems
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for developing and using systems to phenotype root systems in greenhouse and field settings under the guidance of research mentors. Build skills in root image processing and other data analysis activities using
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new initiatives and projects to develop programmatic improvements Building skills required to develop content for, and engage in outreach to, the regulated community and other partners You will also
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to evaluate and refine established and newly developed screening approaches for postharvest disease resistance. Build experience in developing and assessing preharvest and postharvest treatments to control
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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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receive training in public health laboratory science and operations, curriculum development, communication and facilitation, partnership building, and analysis and evaluation methods while collaborating in