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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure
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translate fundamental insights in membrane technology into practical, impactful solutions. Responsibilities and qualifications Develop and optimize highly structured membranes for membrane distillation. Lead
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Alam lab uses a combination of biochemical and structural (Cryo-EM and X-ray crystallography) techniques to primarily
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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metocean conditions. Prior research highlights the importance of stall conditions for optimal sail performance and safety, while also demonstrating the complexity of airflow around sails and ship structures
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. These instruments and techniques support APS user programs and beamline scientists working in materials science, geology, and biology. The brain is among the most complex structures known, containing over 89 billion
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
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 leading
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to work on various research projects on developing resilient and sustainable construction materials. The successful candidate will work on advancing the development and characterization of reactive
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. Mentorship Structure The postdoctoral research scholar will be supervised and primarily mentored by Professor Mykel Kochenderfer, Faculty Co-Director of the Stanford Center for AI Safety, and Associate