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SAS, Stata, Web technologies, C#, Python, Powershell, Power BI, Snowflake, and health datasets is ideal but not required. A bachelor’s degree in computer science, Data Science or related area is
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-scale simulations (e.g., MD, DFT, ML-FF) Demonstrated proficiency in computational programming (Python, C++, or related programs) Demonstrated experience with writing research publications Proposed Start
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
to biomedical and/or environmental health research Excellent skills in programming in several languages, including Python and R, in complex data analyses Experience in analyzing omics data, including genomics
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or virtual mentorship sessions. Perform data cleaning, exploratory analysis, and visualization using R and/or Python. Communicate findings clearly and effectively to technical and non-technical audiences
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skills: Python, SAS and R, Nquery is an advantage; Language skills: Excellent written and spoken knowledge of English, command of French desired. Applications including a cover letter and a curriculum
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using R, Python, and GitHub. The role also involves contributing to data visualization, interpretation, and manuscript preparation; assisting with wet-lab activities such as library preparation, histology
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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programming tools (e.g., LabVIEW, Python, MATLAB) ENED 1120 - Foundations of Engineering Design Thinking II (a design centered course that builds foundational knowledge of multiple programming tools (e.g
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such as Python, Perl, Java Script, and shell scripts. Collaborate with team members on the design, implementation, and support of standardized automation systems. Lead a group of team members on design
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with python and optimization software, in particular GAMs; Familiarity with data and proficiency in statistical software (e.g., STATA, or SAS); Experience in conducting interdisciplinary research and a