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The Quantum Dynamics of Control (QDC) group led by Prof. Aurelia Chenu at the University of Luxembourg has an opening for a 1-year postdoc on dynamics of quantum systems and theory of measurement
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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transformation, and the relationship between public policymakers and spatial design. Areas of responsibility: Research in the above-mentioned fields Head of a design studio and theory seminar, supervision
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, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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Applications should include: Curriculum Vitae Cover letter including a statement of research interest List of publications The names and email address of at least 2 references who can be contacted by us to provide a reference letter Early application is highly encouraged, as the applications...
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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