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                Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position 
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                applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with 
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                interface engineering? You already worked with thin coatings deposition and adhesion promotion? Then we have a new opening for you! The Structural Composites (SC) Unit at LIST is looking for a passionate post 
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                details of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will 
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                List of publications and projects Copies of diplomas Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system 
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                Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing 
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                Applications should include: Curriculum Vitae Cover letter List of publications and projects Copies of diplomas Early application is highly encouraged, as the applications will be processed upon 
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                encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged 
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                ) with hardware in the loop functionalities to test and validate AI-based solutions in complex operation environments Working with rapid prototyping tools (dSPACE) to recreate charging profiles and 
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                certification processes for such systems for the industrial partner: Explore approaches to generate safety cases and evidence suitable for contributing to the potential certification of these AI components