154 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions in Luxembourg
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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6 Mar 2026 Job Information Organisation/Company Luxembourg Institute of Health Department Ressources Humaines Research Field Computer science » Other Biological sciences » Other Researcher Profile
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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We offer an attractive research associate position in the context of the project M etamo rphic Secur ity T esting A ssisted by L LMs (MORTAL), which is supported by the Competence Hub in Research in
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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the University’s mission in academic continuing education, staff development and training for Luxembourg, with strong expertise in digital learning. Reporting to the future Head of ULCC, the Study Programme
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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2027 - 02:41 (UTC) Country Luxembourg 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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The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function