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• Participation in the international Long-Term Ecological Research network or a similar ecological research network • Experience working with spore-forming Firmicutes (bacilli) and/or Actinomycetes (culture
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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of software to validate the integrity and durability of a nuclear power plant containment structure, based on a multiphysics-multiscale approach and data to build a digital twin. • Participate in consortium
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institutions, Luxembourg's leading international financial centre and its vibrant business community. Institutional and private sector partnerships, sponsored Chairs and a growing network of international