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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09964 Is the Job related to staff position within a Research Infrastructure? No Offer Description This Phd position will be in
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Do you want to help develop the next generation of safe and intelligent machines? We are now looking for a PhD student in semantic and goal-oriented communications with focus on cloud-assisted
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Tsendbazar (land cover validation), Dr. Johannes Reiche (near-real-time monitoring), and Prof. Dr. Sytze de Bruin (spatial statistics). This PhD programme is also a part of PE&RC, a collaborative research and
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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to quality, integrity, creativity and cooperation. You have strong interest in communication networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C
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of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud-native 5G/6G networks. The project will explore the mechanisms
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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service delivery across heterogeneous infrastructures, including terrestrial and non-terrestrial networks, cloud-edge environments, and vertical industry domains. The PhD candidate will investigate