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machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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, United States of America [map ] Subject Areas: Biological Engineering Energy & Environment Sustainability Biotechnology Energy Appl Deadline: (posted 2025/12/16 05:00 AM UnitedKingdomTime, listed until 2026/06/17 04:59 AM
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qualifications: A PhD degree in synthetic or molecular biology, microbiology, biotechnology or related fields. Demonstrated research experience in molecular biology, microbial genetics, genetic engineering, or