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Field
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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the Association of Public Health Laboratories and is associated with the University of Iowa Department of Chemistry Radiochemistry Graduate Certificate Program. The postdoctoral scholar will leverage this support
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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mechanics and/or voiced speech production. Preferred Qualifications Ph.D. in Mechanical Engineering, or a related field. The ideal candidate will have a demonstrated history of research excellence through
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral communication