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dedicated to improving the understanding of the lunar water cycle, with many applications in the field of solar system science and exploration. To this end, we combine both numerical modelling and
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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and characterizing cementitious composites. Proficiency in characterizing construction materials micro/nanoscale experimental methods, such as XRD, SEM, TGA/DSC, NMR, or synchrotron-based techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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University of California Agriculture and Natural Resources | Stockton, California | United States | 9 days ago
helps to support and promote the adoption of practices and technologies that solve problems. Extension methods may include individual consultations, presentations, organization of educational workshops
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on mechanistic empirical pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic
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datasets for cooling demand profiles at individual dwelling and community levels, devising methods for forecasting cooling demand, and using specialist software to simulate community level cooling demand
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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patterns and air pollution in urban areas. Data driven methods will build on experiments conducted in the University of Southampton’s wind and water tunnel facilities using state-of-the-art laser diagnostics
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for electrical machines based on custom-designed embedded hardware and edge-deployable AI models. Building upon prior work that established basic IoT connectivity and AI-based fault detection methods