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., interviews, focus groups, case studies). This involves carrying out user interface design studies, and investigating human-computer interaction. Therefore, a strong interest in and experience with qualitative
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2027 - 02:41 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and stimulating environment, along with frequent opportunities
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will reinforce expertise in digital methods in construction, focused on project management. They are expected to: (i) Conduct research in: Construction informatics, BIM, data science, digital twins AI
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse
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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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We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning force fields (MLFFs) that combine state-of-the-art equivariant neural network architectures with...
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backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network security, information assurance, satellite systems, vehicular
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Applications should include: A copy of the academic degrees awarded and, where candidates are currently enrolled to an academic programme leading to a Master’s degree, the expected date
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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