227 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Zintellect
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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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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
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. Learning Objectives: Develop skills in plant breeding including hybridization techniques. Become familiar with ploidy manipulation techniques and analysis using flow cytometry, microscopy, and conventional
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at the COSPRU. Learning Objectives: The participant will gain hands-on experience with in vitro cell lines and in vivo mouse studies. The participant will also gain hands-on experience in microbiota data analysis
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multidisciplinary team to execute studies and analyze data. Learning Objectives: The participant will gain skills in the conduct of this research by collaborating side by side with Federal scientists and technicians
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resilience. Learning Objectives: The participant will receive training in insect rearing methods, insecticidal bioassays, molecular techniques, and data analysis. Mentor(s): The mentor for this opportunity is
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and to identify the cell signaling mechanisms responsible for these effects using in vivo (murine model of nonalcoholic fatty liver disease) and in vitro methods. Learning Objectives: The selected
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surveillance missions worldwide. Participating in the preparation of manuscripts for publication Developing leadership skills and roles in research projects Learning how a high-throughput laboratory at
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. Learning Objectives: As a result of this training, the participant will gain knowledge and experience in: Enzymatic, chromatographic and related methods for the analysis of phytochemicals, dietary fiber and