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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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training: Enroll in the VISESS doctoral school , with benefits described here: https://visess.univie.ac.at/phd-programme/ . Benefit also from the offer of soft skills training, coaching, and professional
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on high-performance computers Research freedom: Develop your own ideas within the project’s broad scope. Inspiring and supportive working atmosphere: Join an interdisciplinary team of 4 PhD students
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training: Enroll in the VISESS doctoral school , with benefits described here: https://visess.univie.ac.at/phd-programme/ . Benefit also from the offer of soft skills training, coaching, and professional
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funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in pursuing a PhD at
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funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Co-tutelle - University Claude Bernard
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oceanographic campaign (June–August 2028), which is part of the international research program Antarctica InSync (https://www.antarctica-insync.org/ ). The successful candidate will have the unique opportunity
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, or parameter identification Proficiency in Python and frameworks (e.g., PyTorch, TensorFlow) Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development Relevant scientific