135 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Fellowship positions at Zintellect
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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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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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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 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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analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning Objectives: Through this educational opportunity, the selected candidate will develop
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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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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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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
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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