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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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towards developing the knowledge and technology required to move key AI applications from Cloud datacenters to Edge devices. In addition to reducing demand for datacenters, Edge AI also has the potential
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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