143 information-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" research jobs in Luxembourg
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character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy
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joint supervision of Prof. Marc Suhrcke , who is leading the Health & Health Systems Research Programme, and of Dr. Michel Tenikue , who is the Principal Investigator of the CAIPD project. The successful
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character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy
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https://app.skeeled.com/s/sH75wpR6 Requirements Research FieldChemistryEducation LevelPhD or equivalent LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers
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21 Feb 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Application Deadline 20 Feb
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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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 offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is supported by Google.org and is embedded in a broader research
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We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is embedded in a broader
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harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as