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. Moyens / Méthodes / Logiciels Python, Matlab, SPECTRA Profil du candidat Vous préparez un Bac+5 (Diplôme École d'Ingénieurs, master 2 ou équivalents) en computer vision, data science, IA, traitement du
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Weebit Nano. Applicant Profile M2 student in Electrical Engineering, Computer Science, Applied Mathematics, Data Science, Computational Neuroscience or related fields, with strong quantitative skills
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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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l’informatique, au traitement d’images, à l’intelligence artificielle ou à la science des données (data science). - Connaissances en Machine Learning et en traitement d’images (OpenCV, bibliothèques de
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: Master's (M2) or engineering-school student in machine learning, applied mathematics or computer science Strong linear algebra; probability and optimization are a plus Solid Python and PyTorch Care in
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qualifications master student or equivalent (2nd/3rd engineering school year) in computer science and/or machine learning; some knowledge of the Python programming language; ability to work in a team
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a PhD in computer science, electrical engineering, embedded systems, or a related field. Strong candidates will have experience in one or more of the following areas: hardware security and fault
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arrays. Applicant Profile You are a final-year Master’s or engineering student specializing in electrical engineering, microelectronics, applied physics or computer science. You are comfortable with
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A recognized work-life balance environment A diversity and inclusion policy Corporate catering Applicant Profile With a background in computer science and AI or electronics, you are a problem solver
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