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on available work, funding, and performance. Anticipated Division of Time (30%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods. (30
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genomic selection in canola. Imputation (20%) - Implement genotype imputation algorithms to enable joint analysis of historical datasets genotyped using different marker panels. Presentations/Reporting (10
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implementations of genomic selection in canola. Imputation (20%) – Implement genotype imputation algorithms to enable joint analysis of historical datasets genotyped using different marker panels. Presentations
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods. (30