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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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positioning, navigation, and timing (PNT) applications for the next generation satellite systems Developing innovative solutions and algorithms to integrate communication and sensing or communications and PNT
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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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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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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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and/or experience in one or several of the following areas: Good understanding of the different ML algorithms and architectures Good knowledge in statistics and stochastic models Knowledge in
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application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial peptides Perform and support experimental studies across the METAMIC project
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of the Bachelors of specialisation by contributing to establish the teaching staff, the course schedules, the teaching programme in close contact with the Director of Studies, the study program administrators and
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. Support the establishment of the course schedules and the teaching programme in close contact with the Director of the study, the study program administrators and the project officers. Analyse needs