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institutions abroad and to integrate individual researchers into its scientific activities and projects. A postdoctoral researcher will find at IDPEC an intellectually stimulating environment with strong
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. The research will focus on identifying and characterizing ultrasonic signatures emitted by aging electronic components, and on developing physics-informed neural networks (PINNs) to model their degradation
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, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent
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to staff and students from all countries, faiths and backgrounds, where you can find the world in one place. To support this commitment we have our Global Forum , a staff-led network that promotes and
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fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a fault location and detection on the electrical and communication networks (including
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of the Rheumatic Diseases, 2025 https://doi.org/10.1136/ard-2024-226142 CD200+ fibroblasts form a pro-resolving mesenchymal network in arthritis Nature Immunology, 2024 https://doi.org/10.1038/s41590-024-01774-4 We
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday
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of the Telecoms and Networks division of the Signals and Systems Laboratory (L2S). The L2S (Signals and Systems Laboratory UMR 8506) is a joint research unit of the CNRS, CentraleSupélec, and Université Paris
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more about us by visiting https://www.isc.upenn.edu/about or www.linkedin.com/company/penn-information-systems-computing/. Join our team as a Network Specialist and play a key role in supporting and
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Conference on Neural Networks (IJCNN), pages 1–10, July 2022. doi: 10.1109/IJCNN55064. 2022.9892277. URL https://ieeexplore.ieee.org/document/9892277/?arnumber= 9892277. G. Bellec, D. Salaj, A. Subramoney, R