111 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at Zintellect
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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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scientist Dr. John Newman. Additional techniques that may be incorporated in the project include multi-color flow cytometry, RNA-sequencing, and ELISA. Learning Objectives: In this opportunity
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Transkingdom Microbial Community Assembly in the Barley Phyllosphere During Fusarium Infection.” Learning Objectives: Under the guidance of a mentor, the participant will learn how to: Perform statistical
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products will be characterized by spectroscopic, rheological, thermo-oxidative techniques, and any other analytical techniques as necessary. Learning Objectives: This research will give the participant
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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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. Learning Objectives: The participant will gain experience in field and controlled environment research, including experimental design, breadth of data collection and analysis. They will also learn how to use
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-reviewed journals and communicated to stakeholders and the broader scientific community through participation in conferences and meetings. Learning Objectives: By collaborating closely with the mentor and
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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