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, scientific programming, numerical simulation and algorithmic validations, this internship will contribute to a better understanding of the relationship between propagation and environment geometry in
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of Textual and Visual Semantic Analysis (LASTI) conducts its research in the field of natural language processing and computer vision to extract, classify and generate information. The laboratory's
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computer vision). - Maîtrise de la programmation en Python et des frameworks comme PyTorch ou TensorFlow. - Expérience (un plus) avec des modèles de segmentation (YOLO, U-Net, etc.). Conformément aux
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Profile Master 2 in materials science, physics or equivalent, with programming skills. Position location Site Grenoble Job location France Location Grenoble Candidate criteria Prepared diploma Bac+5
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for High-Performance Automotive ADAS & Autonomous Driving, Product Folder. [7] K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition," IEEE Conference on Computer Vision
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as neural radiance fields for view synthesis. In European Conference on Computer Vision (ECCV), 2020. [2] Kerbl, B., Kopanas, G., Leimkuhler, T., Drettakis, G. (2023). 3d gaussian splatting for real
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could be the subject of a scientific publication. Applicant Profile Programming languages: Python, C/C++ Knowledge of artificial intelligence and the PyTorch framework Experience in using sensors
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microelectronics or materials analysis. A good practical knowledge of (TOF)-SIMS techniques is required. You should be at ease speaking, writing and listening to English. IT/Programming skills and knowledge of
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microelectronics or materials analysis. A good practical knowledge of (TOF)-SIMS techniques is required. You should be at ease speaking, writing and listening to English. IT/Programming skills and knowledge of
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programming language is Python. Good redaction and communication skills are necessary to share the results with the entire team (experimentalists and modellers!) Localisation du poste Site Cadarache