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, flexibility and enthusiasm to work The position requires English-language proficiency for both written and verbal communication. Knowledge of French, German or Luxembourgish is not required but desirable We
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of
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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science
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of communication networks Antenna theory Programming Skills: MATLAB, C/C++ Language Skills: Excellent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus. We
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for Science and Engineering in the doctoral programme in Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training. Your Responsibilities: Conduct research in
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statistics/ mathematic background Strong programming skills in at least one major programming language Interest in applying relevant mathematical modeling techniques A collaborative team player with a desire
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English-language proficiency for both written and verbal communication. Knowledge of French, German and/or Luxembourgish is not required We offer Multilingual and international character. Modern institution with a
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live in. Your role The PhD candidate will generate and study complex macroscopic flow patterns of LCE precursors, polymerize the precursors into LCEs programmed by the flow patterns, and study the
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partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground-to-satellite links
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Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data