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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
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peptide ions, including charge state behavior and fragmentation pathways Independently operate, optimize, and troubleshoot state-of-the-art MS instrumentation, including Orbitrap platforms and TIMSTOF
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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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communications; iv) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio
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capitalizing on this insight. A similar system as described above for ammonia has also been established for or CO2 hydrogenation where we also have a long tradition for work on both the fundamental level as
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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Development & Maintenance: Drive the development, optimization, and upkeep of the lab's computational tools and analysis pipelines, ensuring that they robustly support and accelerate the team's research
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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architectures) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event
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optimization; Edge intelligence and on-device foundation model deployment. You will work in a dynamic and collaborative research environment, with opportunities to publish in top-tier venues and collaborate with