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between machine learning and robotics. The first part of the project will involve working with members of various CNRS laboratories to map the main open-source tools made available to the community by
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(Machine Learned Potentials) type approaches, and/or multi-objective approaches. - in-depth knowledge of Python programming languages (or C++, Fortran) and the Unix system; - Certified level in written and
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strong background in Artificial Intelligence (AI) methods, including machine learning, and data science methods as a whole. Experience with Python programming language and classical AI libraries is
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long way from achieving this objective in full, the fast development of digital technologies in a broad sense (including artificial intelligence, semantic technologies, machine learning, IIoT and
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
postdoctoral researcher to join the QAT team. The successful candidate will conduct research on quantum machine learning (QML) techniques. The candidate will contribute to a variety of projects within the Hybrid
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of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in Phonetics/Phonology, Computational Linguistics, Automatic Speech Processing/Machine Learning or relevant related fields
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of the Ministry of Higher Education and Research (MESR). The project focuses on the development of cutting-edge machine learning methods aimed at predicting atomistic structures (i.e., the arrangement of atoms
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both industrial physic-chemical
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, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines. The successful candidate will