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of Electrical Engineering at TU/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration
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severe speech and hearing impairments, this is a daily reality. Current assistive tools, such as typing text to speech or sign language interpreters, require users to drop whatever they are doing just
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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boundaries. Job requirements You hold an MSc degree in Electrical Engineering, Wireless Communications, Computer Engineering, Aerospace Engineering, Applied Physics, Physics, or a closely related discipline
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Auditory SCEnes in Humans and Machines), an ERC Synergy project conducted in collaboration with Dr. Bruno Giordano (CNRS, Marseille). NASCE brings together cognitive neuroscience, advanced neuroimaging
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solutions that help move the world forward. QuTech At QuTech, we work on radically new technologies with world-changing potential. Our mission: to develop scalable prototypes of a quantum computer and a
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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% of your total appointment, averaged over the course of your PhD. Job requirements Essential An MSc degree in systems & control, electrical engineering, mechanical engineering, applied mathematics, physics
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining