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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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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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bring strong research expertise and strong technical skills within remote sensing and ecology, notably lidar processing. The successful candidate should have: Required: A PhD degree with a publication
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of the PhD student shall be assessed at regular points in time. Who we are Edge computing and networking are principal enablers of widespread automation that is currently transforming all segments of society
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PhD student in charge of the ex-vivo cell experiments to investigate autoreactive T cells in the blood cells from PD patients. You are expected to keep updated with the latest literature on multi-omics
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for intelligent human-robot interaction that can provide personalized support without requiring continuous cloud connectivity, collaborating closely with the second PhD student to ensure technical solutions address
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areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in
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that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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cheminformatics, differential privacy and cryptography. Artificial Intelligence, Cybersecurity and Programming Languages , focusing on choreographic programming, distributed computing (cloud, edge, IoT