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Field
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possess advanced competency in both R and Python, with demonstrated experience applying machine learning methods — including regularized regression, ensemble methods, and supervised classification
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processing and model development. 5. Proficiency in Python and/or R for statistical analysis, machine learning, and biomedical data processing. 6. Design and execute end-to-end statistical and
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-up solutions for different management scenarios. The researcher will develop profit–risk–environment tradeoff products, build reusable R/Python workflows, and publish and present results in
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-up solutions for different management scenarios. The researcher will develop profit–risk–environment tradeoff products, build reusable R/Python workflows, and publish and present results in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
concurrent projects. Knowledge of Python or R is preferred. Ability to analyze multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would
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in MATLAB or Python for simulation/modeling and data analysis. • Experience with COMSOL Multiphysics and/or Lumerical is a plus. • Experiment: Familiarity with ultrafast optics, terahertz generation
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. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools
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. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools
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languages, preferably Python; excellent communication and presentation skills, including the ability to present analysis in a clear and compelling manner for various stakeholder audiences; strong
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learning; strong programming skills in Python and at least one systems-level or real-time programming language such as C, C++, or C#; experience with modern deep-learning frameworks such as PyTorch or