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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and
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) to engage in cutting-edge research on the physical layer design of next-generation wireless communication systems, with a primary focus on 6G technologies. The research will particularly emphasize spectrum
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to recruit a Post-Doctoral Associate (PDA) who will conduct research on the physical layer design of optical wireless communication systems as enablers of wireless access/backhaul of 6G and beyond networks
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satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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or more of the following fields: power amplifier, GaN, active antenna array, microwave engineering, and wireless communication Commitment to adopting principles of diversity, equity, and inclusion in
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satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 18 days ago
problèmes complexes. -Bonnes compétences en gestion du temps et en communication.- Background in probability, statistics, machine learning, and wireless communications. - Interest in causal inference