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. Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning) is desired
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artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI
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that support institutional goals. The successful candidate will demonstrate a deep understanding of the operations of a large public research university and a proven track record of success in strategic planning
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) Program Courses within the program, particularly the cornerstone engineering design course, assists students in learning design processes, methods, and decision-making tools while engaged in team-based
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leadership, underpinned by deep expertise in flow through porous media, with demonstrated interest in and ability to teach courses across our EME undergraduate and graduate programs aligned with
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handling/splicing, lab equipment usage and preferentially, computer controlled-automation/data collection DoD industrial base needs in the area of fiber optics Inherently inquisitive and willing to learn new
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SPECIFICS Postdoctoral Scholar – Public Health Sciences Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking postdoc scholars
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. Areas of interest include—but are not limited to machine learning and deep learning architectures; trustworthy or explainable AI; generative AI and natural-language systems; computer vision and multimodal
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well as collaborate with learning design professionals to ensure that the materials meet web accessibility guidelines. This is a unique role which combines deep content knowledge with accessibility skills to create
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are seeking a Data Scientist to be located in Honolulu HI to join our Information Advantage Office of the Applied Research Laboratory (ARL) at Penn State. You should possess deep expertise in Python, data