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, Biostatistics, or a closely related quantitative discipline and strong programming skills in Python or R. They will also have experience in causal inference research, including methods for treatment effect
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independently, willingness to learn and acquire new skills Interest in working in a highly international research team A background in modern data science is required Very good programming skills (Python, C
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to organize data, document analyses, prepare technical reports, and contribute to the writing of scientific manuscripts in English; ii) Knowledge of programming or scripting languages such as R, Python, Perl
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researchers, and/or lab staff in laboratory methods, procedures, and safety. Experience and proficiency in R or Python. Previous experience with applications of computer vision, machine learning/AI, and/or high
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expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is
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to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
to SQL, STATA, SAS, R, tableau, ArcGIS, python) is recommended but not required. Special Physical/Mental Requirements Must be able to work at a computer for most of the day. Campus Security Authority
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(e.g., SPSS, R, SAS, or Python) is preferred. All employees of the University of Colorado Colorado Springs (UCCS) are required to complete training on policies and procedures administered by the Office
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
to SQL, STATA, SAS, R, tableau, ArcGIS, python) is recommended but not required. Special Physical/Mental Requirements Must be able to work at a computer for most of the day. Campus Security Authority
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analysis tools. An understanding of using data extraction tools such as SQL, SAS, R, Python; data analysis tools such as SPSS; Data Visualization tools such as Tableau, Power BI. Experience with higher