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).The candidate will also assist the Principal Investigators in writing and modifying existing Python/R scripts/processing pipelines and will apply computational analytic techniques to support data analyses
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) that represents entities such as people, projects, grants, publications, places, and outputs—and models their relationships over time. The position will build robust Python-based ETL/ELT pipelines, implement SQL
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methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python
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approaches such as RNA-seq and ChIP-qPCR/seq. • Experience with fluorescence microscopy. • Proficiency in statistical analysis and/or coding (e.g., Python, R) for data analysis. • A willingness to learn and
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. Maintain and configure the Endpoint Detection and Response (EDR) platform. Develop new and maintain existing programs and scripts, primarily in Python. Enhance security automation by developing and updating
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such as Python, MATLAB, C++ and/or FORTRAN. Ability to conduct independent research and collaborate effectively within an interdisciplinary research environment. Strong written and oral
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SolidWorks software to design MRI system components • Experience writing computer programs in Python • Experience performing computer simulations of MRI pulse sequences Pay and Benefits Pay Range: $20.00/hour
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equal at least four years; Experience in data science and web development utilizing applications such as AWS, Python, MATLAB, R, SQL, HTML; Experience in the development of the CoCANoT consortium website
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management. Preferred Qualifications: Ph.D. in Plant Breeding/Genetics, Genomics, or related field, familiarity with plant breeding programs, proficiency in R and/or Python, experience with genome-wide
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analysis Experience using R or Python Pay and Benefits Pay Range: $62,232 - $75,564; depending on education/qualifications/experience and following the NIH stipend level Please visit the Benefits