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Networks, and ICT Services & Applications. Your role Design intelligent agent architectures leveraging large language models (LLMs), planning algorithms, and secure transaction protocols tailored
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efficient decoding algorithms" supported by the Luxembourg National Research Fund (FNR). The APSIA Group is seeking a highly qualified post-doctoral researcher for this project. For further information, you
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toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings
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attacks Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems Prepare project deliverables and disseminate results through high-quality
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distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. Furthermore, our activities are experimentally driven and supported by the SDR CommLab, the SDN Lab, the 6G
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innovative research that moves beyond increasing agricultural output to examine the broader systemic dimensions of food security-including food distribution, nutrition, and the socio-economic drivers
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distribution of tasks Continuously evaluate and optimise resource utilisation to improve efficiency Laboratory Management Oversee and coordinate the technical support of research and education activities
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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related to e-mobility (e.g., distributed generation, storage, electric vehicles, smart energy management systems, etc.) and how to design the right incentives for a welfare-maximizing e-mobility integration