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, statistics, or a related field. Minimum Requirements Experience using chlorophyll fluorescence using PAM fluorometry, data analysis using mathematical models, and comfort with coding to control custom
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conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
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status. Required Degree Terminal -Ph.D. in Engineering, Computer Science, Data Science, or Animal Science. Minimum Requirements Candidates must possess strong coding expertise, be comfortable working in
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related field Experience in collecting forestry data under a variety of field conditions. Expertise in managing and analyzing large and complex datasets Strong coding skills in R and/or other programming
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Earned Ph.D. in Biosystems Engineering, Food Science, or equivalent Demonstrated expertise in computational modeling Demonstrated experience coding in multiple programming languages (R, Python, MATLAB
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-structured and ethnographic interviews, maintaining detailed fieldnotes and in-process memos, and contributing to qualitative data analysis using flexible coding and concept-mapping approaches. The postdoc
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using diverse data sources, including field-collected biological samples, on-farm sensor data, artificial intelligence–derived outputs, and video-based analytics, to support disease surveillance and
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
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