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Applications should include: Letter of motivation (or extended cover letter) Detailed curriculum vitae Research statement Names and email addresses of two referees Copies of the two most important papers (or of the PhD thesis) Scans of diplomas Early application is highly encouraged, as the...
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Applications should include: Curriculum Vitae, including a description of the mathematical background of the candidate Cover letter Copies of relevant certificates Names, positions and addresses
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The Department of Mathematics (DMATH) at Luxembourg University is recognized internationally for leading research in both fundamental and applied areas of Mathematics. DMATH offers a Bachelor’s
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Applications should include: Curriculum Vitae Cover letter Names of at least 2 reference letter writers Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30/06/2025 ONLINE formally through the HR...
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Department of Mathematics (DMATH) at Luxembourg University is recognized internationally for leading research in both fundamental and applied areas of Mathematics. DMATH offers a Bachelor’s program and three
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processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML, graph theory, and optimization techniques Furthermore, our
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innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific ambition and target
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artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Our activities are experimentally driven and supported by the COMMLab , the 6GSPACE Lab
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities