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the development and optimization of experimental protocols with PI. Supervises and mentors graduate students and research technicians; coordinates group activities. Assists in drafting and coordinating provisional
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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, productivity, energy efficiency, and resilience in building construction. Potential research interests include, but are not limited to: 1. Develop optimization processes for industrialized mass customization
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through the integration of high-performance materials, robotics, automation, computation, and process optimization. Affordable mass customization of building designs that are produced with advanced
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local and state building codes throughout the U.S. with the end goal of optimizing onsite and offsite construction and industrialized mass customization. 2. In collaboration with interdisciplinary
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Optimizations for large Deep Learning Models Andrew David Gunter Doctor of Philosophy in Electrical and Computer Engineering (PhD) Reducing wasted time in Field-Programmable Gate Array circuit design compilation