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candidates beyond the current 5G NR range, including FR3 (7–24 GHz) and the THz band (100 GHz and above). The PDA will be jointly supervised by Qurrat-Ul-Ain Nadeem, Marwa Chafii and Murat Uysal. Principal
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soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and rehabilitation. The successful applicant will have the following technical experience in: PhD degree in
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems
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collaboration. Qualifications: Applicants must have a PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot
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. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or other related department to apply. The successful applicants will design controllers for a variety of
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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candidates beyond the current 5G NR range, including FR3 (7–24 GHz) and the THz band (100 GHz and above). The PDA will be jointly supervised by Qurrat-Ul-Ain Nadeem, Marwa Chafii and Murat Uysal. Principal
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description As part of the Electrical Engineering program of the Engineering Division and the Center
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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Postdoctoral Associate to contribute to cutting-edge research on membrane fouling and functional membranes, including electrically conductive membranes. The successful candidate will work under the supervision