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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Apr-26 Location: Northridge, California Categories: Academic/Faculty Computer/Information Sciences Internal Number
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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and
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functional theory. - Effective Hamiltonian methods for quantum phenomena in solids. - Development of machine learning tools for topological materials. - Experimental studies of magnetotransport in quantum
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of the following: 3D Printing, Computer-Aided Design, Organic Modeling, Device Development, Software Development, Immersive Technologies (VR, AR), Device Manufacturing. An advanced degree may
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responsible for ensuring technical drawings are completed accurately using the 3D computer-aided drafting program, SOLIDWORKS. The individual will complete and coordinate engineering drawings including layouts
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about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 2 yrs Required License/Registration/Certification None Physical Requirements This position requires
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origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 19 hours ago
acquiring signature from Department liaison for all accountable mail. Sort and deliver departmental mail. Employee must use databases, links and tools to locate faculty/staff and reroute unidentified mail or