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parameter estimation using Bayesian inference, and/or the exploitation of Machine Learning (ML) based algorithms to reduce false positives caused by human generated interference signals in the observational
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. Advances in AI, especially NLP and machine learning, open new opportunities to automatically extract and structure security knowledge, and to provide intelligent, interactive support to practitioners
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Université de Technologie de Belfort-Montbéliard | Belfort, Franche Comte | France | about 2 months ago
(formulation, algorithms, applications in structural mechanics), HPC computing, reduced-order modelling, machine learning, Vibrations and structural dynamics, architected materials, Additive manufacturing
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. The candidate must be able to communicate in English (oral and written). The knowledge of the French language is not required. The candidate must have a strong interest in machine learning. Skills in
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properties changes. - The demonstration of the tear detection with machine learning classification applied directly on S-parameters of the MWI system without solving the inverse problem. The objective
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of accessible tools for engineers who are not trained in cybersecurity. Recent progress in artificial intelligence, especially in natural language processing and machine learning, creates new opportunities
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of accessible tools for engineers who are not trained in cybersecurity. Recent progress in artificial intelligence, especially in natural language processing and machine learning, creates new opportunities
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. The objective of this thesis project is to develop hybrid models that integrate electrochemical principles with machine learning techniques to analyze data from electrolyzers, predict performance, assess lifespan
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, CNRS, I3S, Sophia-Antipolis, France) Collaboration: Luca Calatroni (Luca.calatroni@unige.it), Machine learning Genoa Center, Italy. Context and Post-doc objectives Conventional optical microscopy
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machine learning approaches to integrate single cell and spatial analysis in order to identify molecular signatures and pathways underlying radiation-induced effects. Collaboration: Work in close