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adapting methods from published literature. Through meticulous record-keeping, data tabulation, statistical analysis, and summarization using computer software, you will gain practical experience in managing
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and platforms. This mentorship opportunity thus offers research training in applied plant breeding techniques as well as genetic and statistical analysis of collected data. Learning Objectives: As an
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in several areas. These include, but are not limited to: Participate in collecting data using modern microbiological techniques Gain experience in conducting statistical analysis Gain experience in
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mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials. The participant will be a part of
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common laboratory equipment (e.g., autoclaves, sterilizers, centrifuges, homogenizers), and gain experience in DNA extraction, PCR amplification, and sequence analysis for Hemileia vastatrix and
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scientists and communicate findings through manuscripts and newsletters. Learning Objectives: The participant will have an opportunity to gain experience in plant genetic analysis, pipeline development, trait
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are not limited to: Collecting data using modern microbiological techniques Conducting statistical analysis Gaining experience utilizing software platforms Summarizing experimental findings by preparing
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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. Developing the research or test methodology, executing the research protocol or test plan, data collection, data analysis, and reporting the findings. Conducting data analysis using engineering software and
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cGMP conditions, microsatellite analysis, targeted sequencing, SNP analysis and WGS analysis. This combination of assays is extremely difficult to find. Furthermore, you will be conducting analyses using