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to up to 30 kHz leads to the massive production of data, for which fast (even quasi-instantaneous) processing via neural networks is crucial. Objectives and expected results: The PRICELESS PhD project
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Sklodowska-Curie Initial training network (ITN) project entitled UNVEIL. The position will be based in France, at the C2RMF in Paris, and SATIE in Gif-sur-Yvette (near Paris). The PhD Enrollment is Université
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the area of quantum and hybrid classical-quantum networks regarding their design, management, and debugging in distributed architectures. Well-Planned Interdisciplinary Training: To sustainably train PhD
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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computing and decentralized intelligence where a swarm of nodes learns graph dependencies by effectively integrating the structure of distributed systems into neural network architecture. This approach
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
fully funded PhD position in the area of Adaptive Protocols for Decentralized Wireless Networks. The research associate will contribute to the newly established Secure Mobile Systems Group. The main focus
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. You have strong interest in communication networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical
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PhD Positions Application Deadline 1 May 2026 - 23:59 (Europe/Brussels) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded