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analytical and computational models related to optimization, AI-enabled workflow design, and stochastic assembly line balancing • Collaborate with faculty, doctoral students, and industry partners in
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undergraduate majors (Physiology and Neuroscience) with approximately 1,200 majors combined; the Molecular, Cellular, and Integrative Physiology (MCIP) graduate program, popularly combined with professional
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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femtosecond pump–probe methods, wide-field imaging, and advanced statistical and computational analysis to elucidate structure–function relationships in biological systems. Candidates are expected to have
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, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google Earth Engine
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at Michigan State University (Lansing, MI). The Rhee lab combines computational and experimental approaches to reveal molecular mechanisms underlying adaptive strategies in plants (https://www.rheelab.org