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on creating frameworks and middleware that facilitate the integration of quantum computing with traditional HPC and cloud environments. Main activities include designing quantum–classical workflow frameworks
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to move key AI applications from Cloud datacenters to Edge devices. In addition to reducing demand for datacenters, Edge AI also has the potential to improve upon Cloud AI by reducing latency and
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(i.e., an SFI ) in which NTNU, the University of Oslo, and key industry players work together towards developing the knowledge and technology required to move key AI applications from Cloud datacenters
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properties. Optical systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question is: How can small
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networks and/or edge-cloud continuum Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics
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four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the system performance
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cloud storage and eGovernment services. Of particular interest will be hybrid schemes and cryptographic agility. There will also be a need to do further theory work, e.g. on QROM and related techniques
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cloud, enterprise domains, and edge locations close to data sources and users. For OT and IIoT, this raises fundamental systems questions: Where should AI-related components be placed (cloud, enterprise