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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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for scientific data acquisition (e.g., mapping missions). Background knowledge in drone or satellite-based LiDAR remote sensing. Experience in workflows for drone data processing (e.g., Agisoft Metashape, Cloud
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data
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applications. Existing research model multiple UAVs as a single shared entity in a centralized Digital Twin (DT), which poses safety risks to IAM operations if the cloud or central database becomes unavailable
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distribution infrastructures, and heterogeneous networks and storage environments based on Cloud based services, CDNs and Edge Computing. This complex chain of delivery has negative implications
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facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active seminar program, the possibility
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independent researchers Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure
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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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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