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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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turbulence. You will study either the entrainment processes at the cloud edge or the turbulence – droplet interactions. Depending on the strengths/preferences of the student you will either conduct high
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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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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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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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cosmolgy, galaxy evoltion and stellar astrophysics. Students in my group primarily perform numerical simulations of stars, in order to study broad questions related to the origin of the elements in
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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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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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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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disclosures. However, ethical challenges (data privacy, bias, transparency) and cultural resistance persist, necessitating robust ethical frameworks, explainable AI, and regulatory adaptation. The PhD student