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programming and applied mathematics, and interested in neural networks and their hardware implementation. Some experience in machine learning would be an asset. Prior knowledge of emerging memory
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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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of engineering school or Master 2 Desired skills : A strong motivation to learn and contribute to research in artificial intelligence. In-depth knowledge of computer science and programming languages
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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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technical skills: experimental practice, instrumentation, image analysis, tomography, programming languages, experience in large scientific facilities experimental campaign Soft skills: ingenuity
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; · Scientific programming and data analysis. Experience with absorption systems, ammonia–water mixtures, injectors/ejectors or phase-change phenomena would be an advantage, but is not mandatory. You
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Science, or a related field. Hands-on experience with cleanroom nanofabrication. Familiarity with transport experiments (thermal, electrical) is a plus. Strong analytical and programming skills (Python