143 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Luxembourg
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seeking a Maître-Assistant (Research Scientist; teaching position) in Teaching and Learning Languages in pre- and primary school to join its team. A special focus should be on Teaching Children’s and Youth
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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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, misinformation intervention, and computational social science Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models
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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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, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute
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solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As part of a major European
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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, management, economics, and other fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and