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statistical modeling, machine learning, data analysis, and reporting Proficiency in Python or R Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines Advanced
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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meteorology Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences Experience interrogating and/or visualizing meteorological data Experience with
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Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences: Experience with web development Experience interrogating and/or visualizing meteorological
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offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more
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formatting spectral data using Python-based software Uploading data to SpecTable, the public XAS reference library. Who are you? A university student (minimum 120 credits, including at least 60 in chemistry
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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minimum pay as determined by rank and/or step at appointment. See the following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy
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of Microcomputers, Introduction to Computer Information Systems, Introductory Programming in Python, and Data Analytics Courses. Required Qualifications Candidates must hold a minimum of a Master’s degree in the