551 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Pennsylvania State University
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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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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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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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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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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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transitioning military members to apply. You will: Contribute to the development of cutting-edge research Design solutions for various system level needs such as applications, libraries, interfaces, and device
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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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critical poultry industry needs and develop relevant educational programming. Design and deliver research-based learning experiences for poultry producers and stakeholders using diverse formats (in-person