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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator
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. The successful candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be independent, motivated, and highly organized and will help the investigator
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their data needs and objectives. • Perform data analysis and generate reports as needed. • Stay current with data analysis tools and techniques, particularly in R, Python, and SAS. • Helping prepare materials
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
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the following software, languages, and tools: R, Python, ESRI suite, QGIS, Pix4D, IFTDSS ● Prior professional experience in educational or community-focused environments where science communication is a part of
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, Computer Science, Computational Biology, Bioinformatics or a combination of related education and work experience to equal four years. - Experience in Python, Rust, R or other common programming languages (e.g., C/C
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assist with rodent experiments as needed. Some nights and weekends may be required. A breakdown of time would include the following: Data science and programming (60%): Build analysis codes in Python
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras
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degree -Prior course work in computer analytics and advanced mathematics -Programming experience preferred: SAS, R, STATA and Python -Eligibility for certification using restricted CDC data sets Preferred