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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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collaborations among academia, industry, and public sector partners. For further details about the overall research project, please contact paul.wilmes@uni.lu .
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Mathematics or in mathematical aspects of Computer science, with excellent results. Start in or around September 2025 ; an earlier or later starting date is possible. The Mathematics department offers
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: www.uni.lu/snt-en/research-groups/sigcom/ We are looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you have come to the right place!
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into organizational workflows, they introduce new attack surfaces and vulnerabilities. Current efforts to secure these platforms are fragmented. While there exist some commercial and open-source tools, they are often
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one-fits-all model was proven unsuccessful. Large Language Models (LLMs) and knowledge graph models are expected to harmonize the formats and semantics but there are many open questions about their
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utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers who are experts in the field. In general, the
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only strengthen the individual's academic profile, but also give access to (and the chance to critically engage with) some of the most renowned experts in the field. For more information concerning this
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of the industry partner for a varying range of data types (both structured and unstructured data). The proposed solution aims to address the key challenge of balancing data utility with privacy by developing
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. The project will develop and scientifically test cyber range and cyber war exercises for teams, develop metrics to objectively quantify cybersecurity preparedness levels, and explore innovative way to improve