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with deep learning and 3D point clouds Apply for this job See advertisement About the position The Faculty of Environmental Sciences and Natural Resources Management (MINA) at Norwegian University
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9th November 2025 Languages English Norsk Bokmål English English PhD Scholarship - Deep learning for forest point clouds Apply for this job See advertisement Key Information The position is part of
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
, transitioning from adaptive systems to self-adaptive systems. Spirals creates the future techniques for building self-healing and self-optimizing software systems. The deployment and the execution of Cloud
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In large-scale systems such as clouds
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acquisitions and global coverage but cloud cover—common in mountainous terrain—often obscures the ground. The Automated Landslide Detection Index (ALDI ) uses optical timeseries to map landslides with promising
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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reinforcement learning for edge-cloud-based computation. In both cases, vehicles and robots must be able to navigate around obstacles and manage safety constraints along the planned trajectory, even in situations
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for efficient and secure transmission of information in 5G/6G networks, using quantum communications technologies. Research and development of cloud-native approaches for Quantum Key Distribution (QKD
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). Optimize the databases linked to the data spaces, ensuring system scalability and reliability in a cloud environment. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud