143 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Luxembourg in Luxembourg
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that positively impact society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/
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, the DHML is offering candidates a range of opportunities to access leadership positions, including study programme directors and domain coordinators, according to the needs and development of the medical
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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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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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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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development. This scientific progress is supported by cutting-edge infrastructure and a national commitment to education, research, and innovation. The dynamics of a young university offer rare potential and
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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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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic, political and educational issues
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effects for drug discovery. The successful candidate will play a leading role in developing gene perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate