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ruminant nutrition • Experience with quantitative or mechanistic modeling • Ability and willingness to work in Python-based environments Before applying, please note that to work
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. Programming in R and/or Python Expertise in statistical methods including linear mixed effects regressions and multivariate statistical analyses Presenting work at international conferences Mentoring students
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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transcriptomic/proteomic data analysis, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing