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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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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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and material savings). One important first step is to achieve ohmic contacts on n- and p-type regions, which can be achieved through electrostatic doping developed with our partner, Stanford University
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similaire a déjà été mené sur des réacteurs CANDU en 2016 (Ashlea V. K. Colton, 2016, University of Ontario Institute of Technology). L’étudiant prêtera une attention particulière aux temps de calcul, et