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, photogrammetry or multimodal data integration; - Programming skills for signal processing, data analysis and machine learning. Minimum requirements: - Hold a Degree or Master’s degree in Physics Engineering
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learning, Graph Neural Networks (GNN)/Grid Foundation Models and/or probabilistic methods and Monte Carlo simulation; - Programming knowledge in Python; Minimum requirements: Previous academic background in
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objects or potential threats; • Knowledge of SLAM, mapping, 3D representation, and Digital Twin construction; • Programming skills—preferably in C/C++ and/or Python—along with knowledge of ROS/ROS 2 and
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fusion techniques; • Knowledge of computer vision, image processing, thermography, SLAM, and navigation in GNSS-degraded or GNSS-denied environments; • Programming skills, preferably in C/C++ and/or
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collaboration with business and institutional entities Use of tools and methodologies relevant to the energy sector, such as mathematical optimization, programming. FORMALISATION OF THE APPLICATIONS The