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Computer Science, AI, Statistics, Bioinformatics, or related disciplines. Long-term research experience in agricultural intelligent biobreeding algorithms, with internationally recognized innovative thinking
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, and adaptive problem-solving under variable or challenging conditions. Strong data-analysis skills, including familiarity with experimental uncertainty quantification, environmental statistics, and
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