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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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). 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
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). To make sense of the wealth of information in these large data sets, we will deploy advanced cancer genomics workflows in the secure and scalable UZ Leuven Genomics Core cloud and report insights
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. These processes depend on the interplay between urban morphology, surface materials, and atmospheric optical properties. Variations in clouds, aerosols, and thermal inversions alter the intensity and spectral