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projects, or equivalent outputs. Proven experience with qualitative and/or practice-based research methods (e.g., ethnography, co-design, participatory design, field studies). Affinity with robotics, HRI
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projects, or equivalent outputs. Proven experience with qualitative and/or practice-based research methods (e.g., ethnography, co-design, participatory design, field studies). Affinity with robotics, HRI
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges in terms of design and technology challenges, application mapping and reliability
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. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges, application mapping and reliability and non-ideality issues. Thus
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Job description Computation-in-Memory (CIM) is being investigated for energy-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges
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collectively known as memristor-based Computation-in-Memory (CIM) accelerators. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges
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missing voices in the societal debate? You will furthermore design and organize public engagement activities, including, for instance, qualitative scenarios and focus groups. The position is embedded in
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when the propellers are properly designed. Despite their potential, the transition to composite propellers still faces significant challenges. One of these outstanding challenges is cavitation erosion
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advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing