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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications. Key Responsibilities: Develop innovative
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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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to global citizenship education (GCE) that can support children in developing knowledges, skills and attitudes for building a more inclusive, peaceful and sustainable future. CHANGES seeks to advance GCE
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The Medical Team of the faculty is in a constant development. Our research initiative, in collaboration with clinical partners, is thriving as we explore the effects of fasting and caloric
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, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines Develop and integrate TDOA/FDOA‑based geolocation methods into RF situational‑awareness
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3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
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. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate will lead the development of a V&V framework for AI-augmented perception systems and will be responsible
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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to engage in scientific activities both in Luxembourg and abroad, including seminars, summer schools, conferences, and more. The postdoctoral fellow will be working on developing multi-scale and multi-modal