21 machine-learning-"https:"-"https:"-"https:"-"https:" research jobs at Pennsylvania State University
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response. This research project aims to bridge that gap by combining climate science with machine learning and text analysis. Our team has compiled a unique dataset of approximately 120,000 news articles
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in clinical informatics. This internship is ideal for someone with strong analytical and technical skills who is excited to work at the intersection of machine learning, healthcare data, and
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and analysis Assist with exploratory data analysis, and data augmentation and organization that will be important for datasets to be used in machine learning research BACKGROUND CHECKS/CLEARANCES
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with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus. Other Skills: Self-motivated with good
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and mapping sweet corn pests. Undergraduate research assistants will work directly with graduate students, senior researchers, extension educators and growers. Applicants should have a car and be able
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and mapping sweet corn pests. Undergraduate research assistants will work directly with graduate students, senior researchers, extension educators and growers. Applicants should have a car and be able
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profiles of radar observations, and applying machine learning and artificial intelligence methods to radar-derived quasi-vertical profiles to track features in the quasi-vertical profiles. Expected to work
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., prompt engineering, fine-tuning, agent-based frameworks, or evaluation pipelines); Strong programming skills in Python; Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers
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skills. Positions available for up to 5 hours per week. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University
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method widely used in social sciences, education, and business research. This project aims to advance AI applications in qualitative research while providing hands-on experience in machine learning