116 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Zintellect in United States
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this information can improve our ability to predict the spread and intensity of wildfires and prescribed fires. Learning Objectives: The program participant will learn a variety of new skills to measure
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to improve soybean for enhanced disease tolerance by accelerating breeding programs and enabling the engineering of new and improved traits. Learning Objectives: As a result of this experience, the participant
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) nanofiber materials and related applications. Results generated through this project will be communicated to the scientific community through conference presentations and peer reviewed publications. Learning
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of protein purification, including expression, downstream processing and modification. They may also participate in other aspects of vaccine development. Learning Objectives: The participant will learn how
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will focus on evaluating how alfalfa-grass interactions influence biological nitrogen fixation, soil health, and soil organic matter dynamics in mixed species forage production systems. Learning
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of the safety and efficacy of these candidate vaccines within BSL-2 animal facilities. Learning Objectives: The participant will gain advanced technical expertise in synthetic biology and the genetic manipulation
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of innovations that mitigate negative outcomes from these relationships. Learning Objectives: You will learn and apply skills in microbiology, virology, insect biology and beekeeping to explore host-virus
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. Investigate options to lower energy consumption and carbon intensity of downstream aspects of the production of packaged leafy greens. Learning Objectives: Under the guidance of a mentor(s), the selected
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using both conventional breeding methods and marker assisted breeding. Learning Objectives: The participant will partner with the mentor to learn more about: Conducting phenotype trials related to maize
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across the dairy supply chain. The participant will also learn about statistical analysis of data in consultation with ARS colleagues. Learning Objectives: Under the guidance of a mentor, the participant