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strong expertise in control theory, machine learning, and probability. You will also collaborate with: Vehicle Safety Division , which applies systems engineering and human factors to improve traffic
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PhD students and postdocs. Research at the DSAI ranges from foundational methods in machine learning (e.g., optimization, bandits and reinforcement learning) to application domains in biophysics
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the reach of conventional computers. These challenges span fields such as optimization, quantum chemistry, materials science, and machine learning. Building a quantum computer requires a multidisciplinary
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learning-based design methodologies. We are seeking a motivated individual with a strong interest in deep learning and RF circuit design. Your work will involve exploring deep learning techniques for silicon
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research activities, this position comes with funding for a PhD student for whom you will be the main supervisor, and also a postdoctoral researcher, enabling you to build and lead a strong research team
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computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc. Main responsibilities As a postdoctoral researcher, you will conduct high-quality
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whereby the employee has the opportunity to acquire both pedagogical and scientific qualifications. Each new Assistant Professor at Chalmers is a strategic recruitment, with tenure track. An Assistant