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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
, managing strategic coordination with partners and providing scientific leadership to align software developments with complex hardware-driven requirements. Leading the architectural design and evolution
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packaging, where EISLAB is responsible for the packaging part within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with
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doctoral or PhD degree in Architecture (if qualified abroad, please provide a Transcript of Record, with a translation into German or English where necessary) As the post involves research within the context
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responsible for the packaging part within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with implementations of massively
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to investigate traffic profiling and monitoring and intrusion detection on encrypted traffic in a zero-trust, programmable network architecture. A major focus is designing and implementing in-network machine
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://www.academictransfer.com/en/jobs/364237/phd-in-automated-spectroscopy-o… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364237/ Work Location(s) Number of offers
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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landscape architecture, architecture, or urban planning, with a particular focus on landscape architecture design subjects; is proficient in graphic software for design and visualization; has professional
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Time) → Faculty of Engineering and Architecture → Department: EA07 - Telecommunicatie en Informatieverwerking → Occupancy rate: 100% → Number of positions: 2 → Type of employment: Contract
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, proteomics) alongside EHR and clinical registry data. Algorithmic Modeling: Develop, evaluate, and deploy advanced machine learning models (gradient boosted trees, neural architectures, ensemble learning) and