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) position in Computational Fluid Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both
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The University of Luxembourg is a multilingual, international research university with a strong focus on interdisciplinarity and innovation. As part of its commitment to responsible and efficient resource management, the University has established a central Procurement Office to define and...
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anonymization Conduct interviews with the involved stakeholders Disseminate results through scientific publications in outlets on the intersection between information systems, computer science, and energy markets
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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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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive
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Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female candidates
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Medical and health sciences education at the University of Luxembourg is rapidly growing and represents a strategic priority for both the University and the country. To foster high-quality teaching
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profile PhD in Mathematics, Theoretical Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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comprehensive technology watch catalog. Main Responsibilities: · Detect emerging AI technologies(e.g., foundation models, edge AI, neuromorphic computing). · Spot industry adoption patterns and