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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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switching and conversion in electronic devices, of immense significance for both environmental and societal benefits. You will collaborate closely with colleagues performing synthesis and theory and
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. The applicant is expected to meet the following requirements: Deep technical documented proficiency in analog, RF, and mixed-signal IC design using advanced CMOS technologies. Well-versed in the end-to-end design
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well. Experience in creating and testing machine learning applications will be considered advantageous. As the communication of research results mainly takes place in English, this employment requires fluency in
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, particularly MIMO radar, and wave propagation channel modelling is highly desirable. We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness
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methods to make AI systems trustworthy, verifiable, and robust against adversarial manipulations. You will have the opportunity to contribute within one or more of the following research directions
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reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing methods to make AI systems trustworthy
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materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose
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learning. As the communication of research results mainly takes place in English, this employment requires fluency in English, both spoken and written. Given the research potential for outreach to the public