30 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" uni jobs in Luxembourg
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of Life Sciences and Medicine (DLSM). The successful candidate will establish and lead an internationally recognized, independent pharmacological research programme in an area of biomedical relevance
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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the University’s service portfolio. You will join a team of more than 35 library and information professionals based on two campuses (Belval and Kirchberg), committed to delivering high-quality services, collections
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conducts research on the application and the impact of emerging technologies like DLT/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT/5G on organisations
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technologies that have a positive impact on society. For further details, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ The candidate will support project partnerships with
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commitment to public health and innovation. The person will play a central role in developing and coordinating the Bachelor in Midwifery Sciences in close collaboration with the Programme Director. The primary
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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The ideal candidate applies machine learning and big data techniques to important questions in economics, combining advanced computational methods with sound economic theory to uncover insights
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As a Data Engineer, you will play a central role in the development and operation of the University’s modern data platform. You will design, build, and maintain scalable data pipelines that support