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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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analysis, adding new features or fixing bugs in existing software, and exploiting these tools to tackle frontier problems in materials physics. Additionally, the postdoctoral associate will benefit from
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. Anticipated Division of Time Research – 90% Mentoring – 10% Required Qualifications PhD in Animal Science, Environmental Science, Agronomy, Soil Science, Agricultural Engineering, or other relevant field
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. Anticipated Division of Time Research – 90% Mentoring – 10% Required Qualifications PhD in Animal Science, Environmental Science, Agronomy, Soil Science, Agricultural Engineering, or other relevant field