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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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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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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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scientists and communicate findings through manuscripts and newsletters. Learning Objectives: The candidate will have an opportunity to gain experience in plant genetic analysis, pipeline development, trait
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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
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spectrometry, dynamic mechanical analyzer, thermogravimetric analysis, differential scanning calorimetry, and scanning electron microscopy Working knowledge of statistical analysis, data handling and data
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: Conducting phenotype trials related to maize breeding and genetics. Marker-trait association analysis and RNA-Seq analysis to identify genetic variations associated with desirable traits Preparation of data
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characterization Knowledge of instruments including nuclear magnetic resonance, Fourier-Transform infrared, mass spectrometry, dynamic mechanical analyzer, thermogravimetric analysis, differential scanning