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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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service. Job Duties include but are not limited to: Develop and sustain a nationally visible, externally funded research program in school mental health and violence prevention. Lead mixed-methods, quasi
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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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transactions are properly accounted for in Banner, the Universitys Accounting System of Record. The position develops financial and billing interfaces for numerous clinical programs which incorporate grants
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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 North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours 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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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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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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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