89 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship positions at Zintellect
Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
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
-
. 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
-
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
-
techniques to enable regulatory agencies to evaluate better the risks associated with exposure to chemicals. Learning Objectives: The postdoctoral fellow will receive training in performing scholarly research
-
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
-
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