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, GC-FID), liquid chromatography (LC-MS, LC-DAD, LC-ELSD), and various extraction methods (SPME, LLE). In addition, the fellow will learn to summarize data sets, perform basic statistical analyses, and
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signaling. Learning Objectives: The participant will gain skills in bioinformatics, genetics, data analysis, statistics, and artificial intelligence-based methods for protein modelling. The participant will
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exceptional hands-on knowledge and skills involving the use of synthetic methods for chemical modifications, as well as bench and pilot scale reactions that will be invaluable to their future career development
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, psychology, and immunology. For more information about the MRICD, please visit https://usamricd.health.mil. For more information about this project, please contact: Dr. Magda Bahcall; magda.bahcall.civ
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, and; Material strength and high specific surface area performance value. The participant will contribute to a collaborative research program focused on understanding the cotton based (barrier protective
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participant will learn about and gain experience in: Conducting and testing insect rearing methods and behavioral bioassays. Conducting laboratory and field research aimed at developing sustainable management
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, soil, and water samples using chemical, microbiological, and physical methods. This includes measurement and quantification of ammonia, nitrous oxide, carbon dioxide, methane, and pathogenic and
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these parasites as well as developing rapid methods of parasite detection and drug-resistant parasite strains. This project seeks to compile the genomic sequence of Eimeria, which are protozoa that cause
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of laboratory mentors. Activities will include computer programming related to database development, extension of the IDS graphical user interface, and integration of our crop and soil models. Database activities
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program that introduces middle and high school students to AI and its applications. Students will engage in exciting and challenging activities over the three-day period to develop skills and knowledge