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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
the tools necessary to manipulate these pathways in planta via genetic engineering. Learning Objectives: Under the guidance of a mentor, you will: Learn about the development and application of natural
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affecting the overall quality of the food products is the desired goal. Learning Objectives: Learn to investigate and resolve food safety problems related to microbial inactivation in complex food products
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participants to learn more about preparation for audits for and site visits at various industrial sites in southern Ohio. What will I be doing? Under the guidance of a mentor, you will gain hands-on experience
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, and learning how scientific information is translated into resources that support public health practice. Appointment Activities: Participate in training related to extreme weather and health
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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biology and ecology will also be investigated. You will interact with team members and stakeholders. Learning Objectives: Under the guidance of a mentor, the participant will: Learn about the development
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to multidisciplinary research aimed at advancing military medicine. What will I be doing? This opportunity offers a hands-on learning experience within a collaborative research environment focused on combat casualty
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competitiveness of the U.S. cotton industry through creation of enhanced cotton genetic resources. Learning Objectives: You will gain valuable experiences and skills in a collaborative, multi-disciplinary research
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expertise in mass spectrometry. Learning Objectives: During the appointment, you will; Develop skills in chemical analysis, including the characterization of mealybug pheromones and related semiochemicals
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DNA (eDNA) metabarcoding data. This will also generate robust, accessible workflows for both short-read sequencing and long-read (e.g. Oxford Nanopore MinION) datasets. Learning Objectives: Under