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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
tools for solving these problems. The goal of this PhD is to understand how these results could be integrated or inspire the designing process of the models for the deployment and the execution of Cloud
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of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no ), a center for
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) Positions PhD Positions Country Spain Application Deadline 17 Nov 2025 - 13:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job
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code: 8040F. · select ‘PhD Civil Engineering (full time) ' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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the EU Research Framework Programme? European Union / Next Generation EU Reference Number 163921 Is the Job related to staff position within a Research Infrastructure? No Offer Description Surrogate
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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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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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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order) . Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish
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frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data