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should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, including courses using R or Python. Responsibilities include teaching two undergraduate courses in
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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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scripting language (Bash or Python) to automate simple administrative tasks. Networking Fundamentals: Understanding of basic networking concepts (IP addressing, RDP, SSH, ports, firewalls). Analytical Problem
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/RTX ) system: Implement statistical and machine learning techniques to augment graph edge properties in ARAX; Create modular python wrappers to interface with NCATS (National Center for Advancing
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reports to publication. Researching new software solutions, such as R-packages, Python, Google colab, Jupyter notebook, ShinyApp, SAS PROCs or macros that might be useful to Statistical and Data Analytics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
pipelines and export of human interpretable format(s) (graphs/figures, tables, etc...); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python
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validation activities, including basic descriptive analyses using programming languages such as SAS or Python, as appropriate Monitor study status and provide status reports to the team Write and review data
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analyses; experience contributing to peer-reviewed publications is desirable. *Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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of experience in the relevant specialization. * Strong interpersonal skills. * Careful attention to detail. * Experience in immunology or molecular biology. * Strong Computer Skills (Excel, Access, Python, R