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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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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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detailed imagery, but only under cloudfree conditions. Synthetic aperture radar (SAR) can deliver highquality images regardless of cloud cover, but such systems are expensive. Our main research question is
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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emphasis is placed on building information modelling, point cloud capturing and processing as well as knowledge representation and inference. In the research project AI-CHECK, new technologies for checking