39 machine-learning-"https:"-"https:"-"https:"-"https:" Postgraduate positions in United States
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& Human Development, School of Teaching & Learning Deadline 02/27/2026 You will be automatically considered based on your completed General Application. To complete the General Application, please sign in .
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machine learning. Compensation will be consistent with Penn State’s standard rates. Job Duties: Develop and maintain web scraping scripts to collect data from various online sources Clean, organize, and
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. This data was collected primarily in upland habitats, but a subset of the data focuses on changes in meadows over time. Learning Objectives: The selected fellow(s) in this project will have the opportunity
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umbrella term that encompasses all types of GA appointments. Graduate Assistants are employed by the University to teach, conduct research, or assist with administrative duties in departments and non
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computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May lead specific
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resources to support development of rich datasets for asking complex questions and collaborate broadly across many different research communities. Learning Objectives: The participant will learn techniques
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part-time graduate student, can be more. Recipient should either be teaching in grades K-12 or planning to teach upon completion of graduate work. Must have received undergraduate degree at least three
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resources to support development of rich datasets for asking complex questions and collaborate broadly across many different research communities. Learning Objectives: The participant will learn techniques
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education program. Recipient shall have graduated from Ohio high school. Financial need. Award Varies Scopes College of Education & Human Development, School of Teaching & Learning Deadline 02/27/2026 You
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graduate student working in the Browne Popular Culture Library. Award varies Scopes Graduate Scholarships, Libraries & Learning Resources Deadline 02/27/2026 You will be automatically considered based