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: We seek a Postdoctoral Scholar to develop next-generation crop canopy modeling tools that combine mechanistic plant physiology with machine learning for digital and precision agriculture. The work
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, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
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Qualifications: Evidence of strong potential for collaborative world-class research Evidence of expertise in modern artificial intelligence/machine learning tools and/or advanced detector technology Evidence of a
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
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, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
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research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning to solve physics problems, while another’s helped create a data science
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undergraduate and graduate students. Our annual ISMaRT program brings together research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning
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research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning to solve physics problems, while another’s helped create a data science