87 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs in Luxembourg
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The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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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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Deadline 15 Mar 2026 - 23:59 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded
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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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SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with governmental
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We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific
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9 Feb 2026 Job Information Organisation/Company Luxembourg Institute of Health Department Ressources Humaines Research Field Computer science » Informatics Researcher Profile Recognised Researcher
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2027 - 02:53 (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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research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and