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: Programming skills in MATLAB, python Spatial Multi-omic Image analysis skills. Special Instructions to Applicants: For full consideration, applications must be submitted online. Click on Apply Now at the top of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
? Experience with collaborative programming in GitHub using Python ? Ability to work with a geographically distributed team Preferred Qualifications, Competencies, and Experience ? PhD in any STEM
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proficiency in R, Python, or MATLAB. Familiarity with stem cell culture or GPCR biology is beneficial. Online Application Required Documents Curriculum Vita Name and Contact Information of References Letters
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. Linux) and programming (e.g. Python). Minimum Qualifications: PhD in biology or computer science or similar. Responsibilities • Conducts lab research under the guidance of the supervisor(s
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scientific-computing environments, such as Python, MATLAB, Julia, C/C++, or comparable tools. Interest in connecting theory and computation with experiments, materials, structures, or multiphysics when
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. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code. Demonstrated
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. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code. Demonstrated
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; Qualifications: Minimum Qualifications : • Ph.D. in Plant Breeding, Quantitative Genetics, Statistics, Computer Science, or related field. • Proficiency Python or R. Preferred Qualifications: • Experience with
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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environmental impacts (e.g., greenhouse gas emissions and impacts to air and water quality). Interest in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python