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that connect ISR's internal systems with AI models and services such as UM-GPT, OpenAI, Claude, and locally hosted research models. The position focuses on developing automation and data workflows using Python
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in the position and outline skills and experience that directly relate to this position. Responsibilities* Development and maintenance of the KECC databases using Databricks, Python, and SAS as the
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for faculty-led lectures in the following course: COMPFOR 131 (Python Programming for the Sciences): COMPFOR 131 introduces Python as a key tool for scientists, engineers, and anyone aiming to translate basic
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modify web scrapers using Python packages, such as Selenium. Create .CSV files by parsing scraped information using Python packages, such as Beautiful Soup. Develop strategies to evaluate the content and
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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fabrication methods such as laser cutting, 3D printing, soldering, assembly, and circuit board testing/debugging Familiarity with Python and related software tools Strong organizational, communication, and
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at improving data cleaning processes by writing automatic scripts and templates (using python, R, JavaScript, bash shell, or equivalency). Develop data documentation (codebooks, technical appendices, etc
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of JavaScript, Python, or similar languages for building custom tools Ability to translate support team needs into practical, efficient applications and tools Strong communication skills to work with non
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creating and grading hands-on assignments and projects for the laboratory component. Lecturers teaching QMSS 301 must include content, assignments, and/or projects using R and Python. QMSS 301 content
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching