654 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Pennsylvania State University in United States
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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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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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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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research-based learning experiences for producers and stakeholders using diverse formats (in-person, online, digital publications, videos, webinars, etc.). Contribute to and/or lead applied research and
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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
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data updates. This is includes preparing, reviewing and solutioning for: Automated biographical updates, Auto creation of new entity records, Mass updates to constituent records, Failed records
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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