18 coding-"https:"-"Prof"-"FEMTO-ST"-"https:"-"https:"-"https:"-"U.S" 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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cleaning, formatting, and maintaining datasets for analysis. Support coding and data analysis by documenting coding results accurately, tracking key evaluation dimensions such as novelty, clarity
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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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for variable number tandem repeats (VNTRs) and conducting association analysis of VNTRs with disease codes from electronic health records. Schedule: This position will work at 20 hours per week. Compensation
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for GRAs in this lab include collaborating with faculty on data collection, data management and coding, writing literature reviews, analyzing qualitative and quantitative data, writing manuscripts
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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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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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evolutionary biology. Produce and maintain well-documented code, notebooks, workflows, and other research outputs Provide weekly progress updates during scheduled meetings with mentoring research staff Prepare
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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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-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