116 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Fellowship positions at Zintellect in United States
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, statistics, and field-lab approaches. Learning Objectives: The participant will receive training in plant molecular biology, genetics, and genomics. This research is expected to result in increased learning
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seeds. This research will help to unravel key indicators of biological relevance during seed quality testing procedures and contribute to a healthy national and international seed trade economy. Learning
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the devastating disease avian coccidiosis. The secondary goal is to compare various Eimeria spp. to identify genes involved in intestinal cell specificity, virulence, and markers of drug resistance. Learning
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in each crop area and learn basic agronomic, data collection, and plant breeding methodologies in trials and nurseries planted at the USDA-ARS. Learning Objectives: The project assignments will provide
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of the opportunity involve various outdoor conditions requiring moderate exertion and traversing the landscape of the MEF. Additionally, the fellow will experientially learn about and participate in the Forest Service
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of genes and proteins as regulators of physiological or immunological traits. Learning Objectives: Under the guidance of the mentor, the candidate will gain experience in and learn to utilize a functional
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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presentations at regional and national conferences will be supported. Learning Objectives: Under the guidance of a mentor, specific learning objectives include: Conducting independent research aimed at developing
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. market access. The approach will include metagenomics and bioinformatics to understand genetic diversity of the pathogen. Learning Objectives: During this project, the participant will be involved in
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for real-time surveillance and precision applications. Learning Objectives: The candidate will gain hands-on experience and advanced knowledge in utilizing cutting-edge geospatial tools, including UAV-based