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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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using the MTM dataset, and administers a mini-grants program to engage a wider community of researchers and EdTech developers. The work includes, but is not limited to: (1) working alongside the NTO's
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several disciplines. Other important roles may include: Mentorship of graduate students and undergraduate members of the lab. Software development. Interaction and collaboration with civil rights
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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these insights and applications using the MTM dataset, and administers a mini-grants program to engage a wider community of researchers and EdTech developers. The work includes, but is not limited to: (1) working
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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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requires an experienced quantitative geneticist with demonstrated expertise in the development and testing of genomic prediction models for plant breeding applications. The individual will work closely with
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several disciplines. Other important roles may include: Mentorship of graduate students and undergraduate members of the lab. Software development. Interaction and collaboration with civil rights
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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