87 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions at Zintellect
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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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farming resulting in more nutrient-dense animal sourced protein products. Learning Objectives: The fellow will gain experience in planning and conducting data collection, remote sensing, geospatial modeling
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agricultural pest systems is highly desirable. Learning Objectives: The overall research goal of the group is to develop new pest management strategies that can augment and enhance current approaches. As such
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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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the production, value, and safety of pecan, peach, nectarine, and plum crops. The participant will learn how to develop methods to improve control of key pecan diseases. The primary disease focus is pecan scab
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adoption by professional organizations such as the AOAC or Cereals & Grains (formerly AACC) would benefit The fellow will learn how to generate an instrumental method for soluble dietary fiber analysis
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identified in this way will represent targets for future gene editing to improve the rate of genetic improvement for reduced grain protein content. Learning Objectives: The candidate will learn about genetic
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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
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chemicals in vitro and live food animals. Learning Objectives: The candidate will receive comprehensive, multidisciplinary training in analytical, environmental, and synthetic chemistry, with a focus on PFAS