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Field
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Federated Cloud Computing ( HCC ) We invite applications for a fully-funded 3-year PhD position on the topic of usable decentralization, i.e. on making distributed and federated cloud services accessible
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in galaxies: how gas and dust form molecular clouds, how stars are born from these environments, and how stellar evolution and feedback return material back to the interstellar medium. Stars are born
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the development of solutions for parallel processing, information systems, computer networks, cluster and cloud computing, among others. 3- Good communication skills, as their tasks will include user support
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Start Date: October 2026 Application deadline: 30th April 2026 Introduction: Warm cumulus clouds have been observed to yield precipitation as soon as 30 minutes after their formation. Formation
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
15 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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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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tuition fees for international students enrolled in any of the following courses for remaining intakes in 2026 and intake 1, 2027 covering the full duration of their studies: • Bachelor of Computer
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Telecommunications or Computer Science. • Programming skills (preferably in Linux environments, Python, C/C++, React, TypeScript, Node.js, Next.js, D3.js or equivalent). • Knowledge of cloud computing (e.g. AWS
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ecosystems. The research may include: distributed and federated learning across edge-cloud continuum, AI-driven network management and orchestration, collaborative intelligence across compute continuum, 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