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–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
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-assisted image analyses. Candidate must be capable of working independently but importantly must be willing to work as part of a team. The RAI will participate actively in bench research as well as data
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being performed. Basic computer skills including a working knowledge of Microsoft Word, Excel, and PowerPoint. Proficiency in R studio or other statistical software; or an equivalent combination
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origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering Minimum Requirements The minimum qualifications are a PhD in electrical
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microscopy methods (darkfield, photothermal, ultrafast, interferometric), electron microscopy, machine learning and other advanced statistical methods. Required Application Materials Cover letter, curriculum
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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