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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 18 hours ago
possess strong programming skills in Python and C++, with experience in PyTorch and pybind11 for developing and optimizing deep learning models. Familiarity with Sentinel-2 satellite imagery and experience
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-domain dynamic simulation tool for submerged mooring lines through the development and integration of sophisticated numerical modules. The simulation tool is implemented in Julia and employs a collocation
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experiments and with real-world field data; - Integration of the numerical model in a digital management tool for riverine plastic mitigation strategies; - Publication of results in peer-reviewed journals and
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, foreseen in the application: 1-Development of the SUPERB framework 2- Definition of building classes and numerical models for physical vulnerability assessment 4-Definition of baseline data reflecting