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molecular biology practices in rhizosphere and phyllosphere biology, 4 Collaborate on analysis of sequencing data generated from microbiome samples, Practice culturing and phenotyping plant-associated
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productive under sustainable management systems. Learning Objectives: The participant will gain skills in laboratory methodologies, experimental design, maize breeding, and data analysis. Through the course
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analysis of large, diverse datasets including field experimental data, geospatial data, and time series data. Experience with machine learning and statistical learning. Familiarity with various management
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hybrid families, and clone trials currently established in the SHRS, Miami, FL. Learning opportunities on the analysis of genetic diversity, comparative genomics, metabolomics, and phylogenetic
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analytical software for data analysis to include ArcGIS, Kaleidoscope Pro, and R. Other activities will include entering data, transferring acoustic files, data management, keeping accurate notes, and
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assessment of mutations) Demonstrated skill and practical experience in molecular biology techniques (e.g., nucleic acid purification, gene amplification and cloning, bioinformatic analysis of genomic data
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and tools for transformation analysis. Conducting phenotype trials related to sugarcane genetics and genomics. Helping scientists with trials for CP sugarcane breeding and flower synchronization
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high-containment (BSL-2) environments, including conducting vaccine safety and efficacy trials. Bioinformatics: Familiarity with computational tools for NGS sequence analysis, transcriptomics (RNA-seq
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and ion), mass spectrometry, and capillary electrophoresis. Learning Objectives: Become familiar with the collection, extraction and analysis of horticultural samples Develop skills in the following
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an early-stage project from initiation to analysis to a fielded system in a short period of time. The knowledge gained will provide you a highly desired skill set in the area of clinical systems