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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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scientific imaging, as well as access to hyperspectral imaging equipment and to heritage collections studied within the laboratory's activities. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UAR3224
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efficiency). - Contributing to scientific validation, writing publications, and disseminating results. - Software development (C++/Python) in a ROS 2 environment and robotics simulators. - Integration
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their results in the context of the clients. Analyses will be conducted with several software packages for statistical data analysis (possibly including R, SAS, Python, …). The new colleague may acquire new
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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: Experience with Django Python development. Experience with VCS, preferably Git. Advanced skill level in CSS, HTML5, and JavaScript. Knowledge of MVC and responsive web designs. Knowledge of application testing
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, including FEM and structural analysis. Experience or interest in metamaterials, fracture mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail mohamed.jebahi@ensam.eu Requirements
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modeling with SUMO. Programming transport modes with Python. Integration of climate constraints into a transport model. Emergency and disruption management. Where to apply Website https://sede.uvigo.gal