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policy support. This project will provide training to address surveillance and research issues related to nutrition, physical activity, and obesity in a public health setting. You will train with others
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
-to-generic switching. Develop skills in explaining factors that may contribute to variability in opioid absorption and systemic exposure under real-world conditions. Gain experience in applying concepts
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genetics, and physiology to identify fundamental mechanisms controlling muscle stem cell function and to develop innovative therapeutic strategies for muscle diseases. You will lead independent research
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
regulatory frameworks shape and respond to these developments, including their implications for drug quality, access, and approval timelines. Additionally, you will investigate global supply chain dynamics and
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
Unit develops natural products for use in agriculture, producing more toxicologically and environmentally benign pest management tools and improving the value of crops. A secondary mission is to conduct
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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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, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society. Essential functions (job duties): What if a single sugar-modifying enzyme held
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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