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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study transaction networks, illicit transaction
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to the development of new methods and assays to study VF functions Participate in and contribute to microbiome- and cancer-related projects Ensure scientific quality management and comply with quality assurance
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The research scientist will be appointed to the university on a full-time basis and will have a participatory role in building and coordinating Midwifery education and research under the direct
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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: The holder of this position will be expected to develop research based on quantitative methodologies within the topics of the department and the general framework of the university strategy. Disciplinary and
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will work in the framework of a large research project (EIC Pathfinder Challenge) involving 7 partners across Europe and focusing on the development of standalone a solar-to-X device for the conversion