89 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions in Luxembourg
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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for the local energy community. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT
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are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en
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Deadline 31 Oct 2026 - 02:18 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Deadline 31 Oct 2026 - 02:05 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Application Deadline 13 Oct 2026 - 09:33 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
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The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise
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Deadline 31 Oct 2026 - 02:27 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to