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“Teaching and Learning in the Age of AI”, focusing on how we, as a university of technology, can respond to the rise of AI in the learning process. What does AI mean for the way we teach and learn? How can
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 376108 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Research Council. The successful candidate should have research experience in catalysis engineering and reactor system design. They will have excellent oral and written communication skills and ability
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Posting Information Posting Details Department Applied Physical Sciences - 318100 Posting Open Date 09/18/2026 Application Deadline 10/02/2026 Open Until Filled No Position Type Postdoctoral Scholar
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relevant field, such as plant science, crop science, agricultural engineering, biosystems engineering, horticulture, applied physics, data science or a related discipline. Demonstrable research experience in
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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of Physics and Astronomy at the University of New Mexico (UNM) invites applications for two Postdoctoral/Research Scientist positions to contribute to a DOE-funded GENESIS research program applying artificial
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engineering, substrate recovery strategies, manufacturing process development and process integration. The ultimate goal is to establish scalable and sustainable manufacturing methodologies that reduce material
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into closed-loop control frameworks Test and validate control algorithms through simulation, hardware-in-the-loop testing, and/or physical testbeds Apply machine learning techniques to predict thermal system