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to collaboratively train machine learning models without sharing their data. Instead, clients exchange local model updates with a central server, which uses them to improve a global model. While this paradigm enhances
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for process-local loose coupling in high-performance simulation codes. PDI supports the modularization of codes by inter-mediating data exchange between the main simulation code and independent modules (plugins
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for System Co-Verification against Faults. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(4): 179-204 (2024) #CEA-List ; #CDD ; #Cyber You have a PhD or a Engineer’s degree in the field of electronics
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good understanding of matrix algebra • Good understanding of RF power amplifier design (Class of operation, loadline theory, loadpull…) • Good understanding of semiconductor process such as CMOS, BiCMOS
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing
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range of computer vision tasks. Their strong representational capacity, however, comes at the price of significantly higher computational complexity and memory requirements. This poses a major challenge
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offers salaries based on your degrees and experience. This position offers several advantages: Numerous opportunities to travel internationally (exchanges, conferences, workshops and more) Up to 3 days