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Environmental Engineering area, active in structural and infrastructural research, and funded by national/international programmes and partnerships. Some members contribute to EUROCODE development. The candidate
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE
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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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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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virtually all facets of driving and tire performances. That is why it is becoming a demanding strategic research area that significantly impacts the tire development industry. Mainly road conditions are
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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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, the University has established the Institute for Innovative Teaching and Learning (I²TL). I²TL operates across three interlinked pillars, namely Teacher Development, Digital Education, and the Education
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early stage of their education. Research: The candidate will be responsible for developing his/her own research program and contribute to the Nursing Education Research Programs (NERP) in collaboration
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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, conservation biology or equivalent Experience and skills MUST HAVE Acquaintance with the implementation and development of biodiversity monitoring or assessment programmes Field experience with biodiversity data