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as a critical design metric. Key research objectives include: Mixed-precision algorithms: Designing and implementing mixed-precision formulations for key domain-specific kernels to leverage low
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controlled. A central objective is to develop measurement-based methodologies that establish the relationship between manufacturing precision, process capability, and product quality. Precision metrology and
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no later than the time the employment decision is made Strong written and verbal communication skills in English A well-documented track record of research interests and achievements in a field relevant to
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industry, we advance sustainable, reliable engineering systems in an inclusive and supportive environment. Our research group, the Robot Athletic Intelligence Lab (RAIL), focuses on legged robotics and
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking