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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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molecular biology, with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine learning
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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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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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to the application deadline, with exceptions made for extended parental leave or military service*. Teaching experience: Demonstrable interest and potential to become a skilled educator are essential. A post-doctoral
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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