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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications. Key Responsibilities: Develop innovative
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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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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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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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REcherche BEI) program. The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli. The group focuses on the development and design of reliable, safe, and secure software
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communications. A key focus will be the development of KMS (Key Management System) software for orchestrating QKD networks and the implementation of software frameworks based on SDN enabling the quantum internet
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to projects at the intersection of software-defined networking (SDN), software engineering, and quantum communications. A key focus will be the development of KMS (Key Management System) software
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developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art
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education settings. Insights gained from this research will contribute to the continuous and reflective development of pedagogical practices, providing evidence-based guidance for institutions and supporting