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Field
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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Contrail formation remains one of the least understood yet most climate-relevant impacts of aviation. Persistent contrails can evolve into cirrus-like clouds that significantly affect Earth's
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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-performance and cloud computing; (iii) skills in mathematical modeling and scientific computing; (iv) an ability to work independently; (v) strong publication record (at least five first-authored publications
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for real-world validation. Background information and description of research projects This position is offered within the project IPCEI Next Generation Cloud Infrastructure and Services (CIS): 8ra and
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., 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 to Edge
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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. However, the identity of the objects which caused the change in these clouds is not captured by this approach. Furthermore, the minimum identifiable change discernible from LIDAR is rather large – only down
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days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active seminar
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dynamic, optically unpredictable environments, dominated by waves, specular reflection, cloud-dependent illumination, and variable scattering. These factors significantly degrade sensor reliability, leading