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insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
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risk. You will train and engage with Registry scientists to conduct epidemiologic analyses using data from the National ALS Registry and associated research initiatives, including the National ALS
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Crop and Commodity Protection Research Unit is to develop pre and postharvest technologies and management strategies for invasive pests, and to open and maintain market access and improved quality
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. These insights are important for predicting the ecological success of resistant populations and developing more sustainable, integrated weed management strategies. This project will also involve close
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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causes of death among individuals initiating ESKD therapy. Participate in systematic reviews and meta-analyses examining factors associated with CKD awareness and related public health outcomes. Develop
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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used in agricultural and environmental research. Develop skills in collecting soil, plant, and water samples under field conditions. Learn to establish and maintain field experiments, including planting
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managements affect crop yields, soil organic carbon and nitrogen, plant nutrients uptake and soil pH. Also, gaining experience in using process-based models or developing digital twins for the soil carbon and
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project to isolate, synthesize, and bioassay natural products that mediate plant-insect interaction. Project activities include 1) the chemical characterization of mealybug pheromones and 2) the development