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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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Engineering, respectively, will be important. You are expected to actively contribute to joint research projects, experimental design, and data interpretation across disciplinary boundaries. Responsibilities
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a