169 computer-science-programming-languages-"Prof"-"Prof"-"Prof.-Dr" positions in Luxembourg
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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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strategic expansion, the DLSM seeks a Professor who, within the next 5 years, will coordinate the department’s medical domain and will work closely with study programme directors, clinical partners and
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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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of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme ‘Bachelor of Nursing in General Care’ started in September 2024, while two more bachelor programmes – Midwifery and
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Applications, in English, should contain the following: Curriculum vitae Motivation letter Research statement Teaching statement highlighting areas of interest in education and willingness
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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specialized nursing sciences in the fields of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme ‘Bachelor of Nursing in General Care’ started in September 2024, while two
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The University of Luxembourg is seeking a passionate and entrepreneurial Research Engineer to join a cutting-edge applied research initiative funded by the FNR JUMP programme at the SnT research