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monitoring Program evaluation and data analysis Capacity building, resource development, and knowledge sharing Stakeholder engagement and partnership coordination Strong written and oral communications skills
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and publishing information from long-term datasets. You will have opportunities to participate in most phases of the research cycle, including field visits, data management and analysis, literature
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will develop hands-on experience in plant physiology, nutritional assessment, disease severity evaluation, transcriptomic and metabolomic analysis, and scientific data interpretation. You will also gain
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production, crop harvesting, food processing, and nutritional analysis. Mentor(s): The mentor for this opportunity is Kai-Shu Ling ([email protected] ). If you have questions about the nature of the research
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. Preferred skills Knowledge of basic methods in genomic sequence analysis and plant genetics. Unix scripting, knowledge of a scripting language such as Python, Perl, awk, or R, knowledge of computational
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Engineering, or comparable field). Degree must have been received within the past five years. Preferred skills: Knowledge of basic concepts in genomic sequence analysis and plant genetics. Unix scripting
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. Genomic Sequencing & Bioinformatics: Gaining a deep understanding of the biological principles underpinning biosurveillance, viral evolutionary analysis, and biothreat assessment. You will learn how
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/Large Language Model (LLM) tools. Genomic Sequencing & Bioinformatics: Gaining a deep understanding of the biological principles underpinning biosurveillance, viral evolutionary analysis, and biothreat
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of food chemistry, sensory analysis, food microbiology/food safety, and food engineering Experience in designing, running, and evaluating data from descriptive or consumer sensory panels for food evaluation
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rugged field tablets and QGIS software for ecological data entry, management, and spatial analysis. Apply field safety, endurance, and logistical practices associated with extended ecological research in