65 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-California" positions at Pennsylvania State University
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REQUIREMENTS The College of the Liberal Arts, Department of Political Science is seeking applicants for part-time job of McManus Historical Events Coding Research Assistant. Job duties to include: Work with
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in advancing skills in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text
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part of the Libraries Strategic Technologies development team, you will: Participate in the full software development lifecycle including planning, coding, testing, code review, and deployment. Support
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flyers and making recruitment phone calls to families. Behavioral coding tasks include: Coding parent-child interaction tasks Completing CITI Training Utilizing Google Calendar, Slack, Canvas, and
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models and mixed-effects/hierarchical models where appropriate. Support the publication of intermediate data products, code, and documentation. Stay up-to-date with the latest advancements in
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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-assisted coding tools (e.g., GitHub Copilot, LLMs) to build, test, and troubleshoot technical assignments and business logic. Data Engineering: Develop and anonymize synthetic or public datasets (Kaggle
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the hours of 4:45 p.m. - 9:00 p.m. Ensure all occupants abide by the Penn State Code of Conduct while in the building as well as the Code of Conduct for the Living and Game Room. Ensure the space is
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, and implement in code for use by the team Understand digital engineering tools, techniques, and tactics for future projects Prepare reports on results of testing, and present to sponsors Students
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inference pipelines using modern ML tooling (e.g., PyTorch/TensorFlow/JAX), version control, containers, and HPC/GPU resources. Support the publication of intermediate data products, models, code, and