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management methods. The fellow will be a part of guided experimental design, data analysis, and manuscript preparation. Learning Objectives: To support the research and training of the postdoctoral research
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Degree: Currently pursuing a Bachelor's Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and
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responses and microbial persistence. Learn to design, train, and iteratively refine machine learning models to learn distinguishing features of true microbial contaminants versus host-derived and process
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and epigenetic variation from sequencing datasets in livestock species. Design and implement statistical methods for QTL mapping and association studies, and interpret their results in the context
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pathogens, such as those causing wheat blast and soybean red leaf blotch. Acquire skills in collecting, processing, and analyzing whole-genome sequence data. Learn to design, develop, and optimize fungal
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fungal ecology, physiology, and genetics. Experimental Design: You will gain experience in hypothesis-driven experimental design. This will include selection of biologically relevant treatments to assess
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Objectives: Throughout the appointment, you will learn training in design of experiments, preparation of scientific manuscripts and reports, presentation of data at scientific meetings, analytical assay
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the development of follicular helper T (Tfh) cells and germinal center B cells. Learning Objectives: You will participate in experimental design, immunization and analyzing cellular and molecular responses
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expected to learn both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and
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plants. The participant will learn and use multiple molecular biology, synthetic biology and plant biotechnology related tools and techniques including plasmid vector design and assembly, plant genetic