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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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., Zheng, G., & Srikumar, V. (2017). DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. Proceedings of the ACM Conference on Computer and Communications Security (CCS). [6] Kwon
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
dynamics data and advanced graph-based deep learning models to decode long-range communication pathways within macromolecular complexes. The PhD candidate will play a central role in this effort by
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-Powered Q&A Systems for Multimedia, 2024, p. 36-43. [6] A. F. Wise, S. Knight, et S. B. Shum, « Collaborative Learning Analytics », in International Handbook of Computer-Supported Collaborative Learning, U
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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meters. These instruments produce large amounts of data that require several processing steps before the relevant physical variables are obtained. Typically, machine learning methods are used to optimize
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22 Apr 2026 Job Information Organisation/Company Aix-Marseille Université Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 13 May 2026
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and Software Engineering skills (Python, Git, Software Architecture Design) • Data science skills • Machine learning skills • English speaking and writing skills References [1] Samia Benferhat
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) (required) - Quantum libraries (Cirq, Qiskit, Tensorflow Quantum. QuTiP) (recommended) Theory: - Machine Learning, Deep Learning, Reinforcement Learning, Data Science (required) - Quantum Computing, Quantum