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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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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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Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly imbedded in a physics environment, but the candidate strongly interacts with partners in applied physics, applied
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necessitates a tenfold increase in bit rates, enhanced user capacity, and significantly reduced power consumption. Given that 80% of data traffic is directed indoors, the current reliance on outdoor base
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to concentrate on important topics like diversity and inclusion. As a member of the Radboud Young Academy, I’d like to tailor the needs of the current generation to the academic world. The university has already
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pathways. However, the current common practice is first to build complicated, “black-box” models and try to understand what they learned afterwards. This has the disadvantage that a) interpretation is still
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systematic evidence on where it adds value and where its risks lie, is lacking. In this PhD project you will map current and future GenAI use across the full HTA lifecycle, from horizon scanning
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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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, Electric Arc Furnaces (EAF), and, in a later stage, a Reducing Electric Furnace (REF). While these technologies enable significant CO₂ reduction, they introduce new challenges—most notably the accumulation
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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