689 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Pennsylvania State University in United States
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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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healthcare simulation program continues to grow and enhance student learning in the Ross and Carol Nese College of Nursing, a Healthcare Simulation Operations Specialist is being sought to support the delivery
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REQUIREMENTS We are seeking several undergraduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied Research Laboratory
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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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College has an excellent educational system and offers many cultural events. To apply, please visit https://hr.psu.edu/careers and submit a letter of application documenting qualifications for the position
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REQUIREMENTS We are seeking undergraduate students with interest in artificial intelligence/machine learning (AI/ML) to join the Visualization and Decision Support Division of the Applied Research Laboratory
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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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tackles multidisciplinary topics from signal processing to machine learning to software design with a focus on sonar systems. The goal of our group is to leverage all of the available acoustic physics
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Support for testing, data analysis, and data display Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and
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the 4-H program year and once per week during the two months prior to the show. Attend Fair Entry computer trainings and review recorded trainings to learn how to navigate and use the Horse Show computer