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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
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experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
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research in vehicle analysis and robotics supports the development of transport systems that integrate safety, energy efficiency, artificial intelligence, and automation across the road, rail, aviation, and
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willingness to share your expertise and develop new technical competencies that translate fundamental research into practical applications. Special emphasis will be placed on your documented track record