239 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions in Luxembourg
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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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letter - addressing the following questions: (1) How does your background relate to the position? (2) How do you plan to contribute to the research project? (3) How does the position relate to your
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Applications should include: Curriculum Vitae Cover letter Transcripts of all modules and results from university-level courses (Bachelor’s and Master’s degrees) Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the...
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Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female candidates
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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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The University of Luxembourg is seeking a dedicated and dynamic Project Officer to join our team at the Faculty of Science, Technology and Medicine (FSTM). This role is pivotal in advancing our
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an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social
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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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-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and