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, FIB - SEM and Confocal Microscopes. In addition, two high-performance computing clusters are available to Chemistry faculty, and several laboratories within Chemistry and the School of Engineering and
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foundations for the next generation computing systems. Our research is currently focused on two-terminal non-volatile memory devices called memristors. These devices have shown an electrical behavior
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SEAS Research Support Team. GW Engineering excels in research and education in biomedical engineering, cybersecurity, high-performance computing, nanotechnology, aerospace engineering, civil engineering
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chemistry Experience analyzing chemical or molecular datasets Proficiency with scientific computing and data analysis, preferably Python. Relevant experience may include electronic-structure
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, two high performance computing clusters are available to Chemistry faculty, and several laboratories within Chemistry and the School of Engineering and Applied Science have established, state-of-the
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administrative computing, web-based applications, and intranet services. • System Administration & Training: Oversee the delivery of training resources, applications, and user support to University