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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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breeding and molecular biology. Learning Objectives: As a result of this experience, the participant will: Learn methods to conduct transformation of sugarcane, Learn genomics, bioinformatic methods
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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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blotting or ELISA for protein detection is highly desirable. Additionally, the ideal participant will demonstrate an interest in using bioinformatic tools for data interpretation and a commitment to
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
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pathogens, microbial community characterization, plant tissue culture, diagnostic assay development, high-throughput sequencing, multi-omics research, and/or bioinformatics. Experience using advanced