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dynamics, targeting large-scale systems equipped with GPUs and other accelerators. Key research topics include mixed-precision numerical methods, integrating machine learning into computational workflows
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approaches that combine artificial intelligence, machine learning, natural language processing, and social sciences. This collaborative and cross-sectoral approach aims to produce robust methods for evaluating
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that the self-driving vehicle cannot handle. The research work on teleoperated vehicles with a focus on vehicle dynamics is about research on human and machine interaction. The work also deals with control
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with our research team, you will contribute to projects involving data integration, advanced analytics, and machine learning. While the projects are primarily computational, they are closely connected
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. Methods from probability theory, communication theory, electromagnetics, optimization and machine learning will play an important role. We are ultimately looking to either one of the two broad research
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communication theory, array signal processing, optimization, and machine learning will likely play a vital role. The research will mainly be theoretical, but KTH has testbeds for potential experiments. However