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Field
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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feedback, support career growth, including networking opportunities, conference participation, and professional visibility, and offer mentorship in scientific writing, manuscript development and grant
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to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and
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TASKS Fabricate magnetic thin films and heterostructures using sputter deposition Develop and optimize nanofabrication processes (e-beam lithography, nanosphere lithography) Perform structural
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public school of medicine. We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse
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into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through