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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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dynamic, uncertain worlds. Multi-Objective & Black-Box Optimization: Real-world problems rarely have a single, simple objective. We research methods to navigate complex trade-offs (e.g., performance vs
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responsibilities: Design, implement, and optimize single-molecule assays. Provide technical support and training to HT researchers and National Facility users. Develop an effective training program for new users
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(MechSE). Areas: (1) Solid and fluid mechanics; (2) Dynamics and control; (3) Robotics; (4) Advanced manufacturing; and (4) Control and optimization. MechSE Program Homepage: https://en-soe.westlake.edu.cn
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of innovative vaccines and the upgrading of traditional vaccines, breaks through the key technical bottlenecks in basic vaccine research, process development and production, continuously optimizes the industrial
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and the upgrading of traditional vaccines, breakthrough the key technical bottlenecks in basic research, process development and production of vaccines, continuously optimize the industrial structure