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Field
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computing. Design and develop algorithms for for cache management and job scheduling in modern computing systems (such as LLMs). Analyze theoretical aspects of distributed systems, including optimization
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computing. Design and develop algorithms for for cache management and job scheduling in modern computing systems (such as LLMs). Analyze theoretical aspects of distributed systems, including optimization
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work on a project in the area of cross-border electricity market. The role will focus on cross-border electricity market design, market risk analysis, bidding strategies, and relevant optimization
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for working closely with the Principal Investigator to develop an efficient kernel optimization engine for large language model inference services, including automated profiling, bottleneck diagnosis
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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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power management • predictive power management from circuits to voltage-aware model optimization and test chip demonstration • predictive power management from circuits to voltage and temperature
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, point-of-care (POC) development, and biomedical diagnostics. This role offers a unique opportunity to contribute to the design and optimization of integrated microfluidic platforms for specific disease
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reaction optimization to evaluate activity, selectivity, Faradaic efficiency, stability, and kinetics under relevant operating conditions. Investigate reaction pathways and interfacial mechanisms using
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understanding of optimization methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep
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background in communication and transport network design, with demonstrated expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and