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, and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff
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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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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
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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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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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will contribute to the development of novel methods that will be used across different diseases to develop new types of liquid biopsy tests. Although you will work within a team and receive significant
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supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We
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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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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