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of Humanities, Education and Social Sciences (FHSE) brings together expertise from the humanities, linguistics, cognitive sciences, social sciences, and educational sciences. Scholars from across 20 disciplines
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computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a
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criterion. Language requirements: The University of Luxembourg is set in a multilingual context. The person hired on this position must be proficient in English and either French or German. The University
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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process thanks to the use of Deep-Reinforcement Learning (DRL) to orchestrate the joint use of multiple attack surface tools, Large-Language Models (LLMs) to refine their configurations and graph-based
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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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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MITRE ATT&CK or the cyber kill-chain. As an underlying objective, the defining of common description language will be necessary to share cyber-range capacities and scenarios. Furthermore, the postdoc will
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experience in topics linked to the research will be considered an advantage Curiosity and self-motivation Team-oriented Proven ability to work individually as well as part of a team Have the linguistic skills
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learn new things! Language Skills: Fluent written and verbal communication skills in English are required.