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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 3 days ago
these datasets, build models of carbon stock dynamics in ecosystems. Your work will contribute specifically to objective (2), focusing on quantitative IR spectroscopy. Over the past thirty years, many research
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the mechanisms of sorption and diffusion; (iv) to establish relationships between molecular structure and adsorption properties; and finally (v) to combine experiments and simulations to predict the performance
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regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background
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the consistency of predicted deformations with earthquake focal mechanisms. The first part of the project involves using numerical mechanical models to calculate crustal stresses arising from four main
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
. The recent emergence of Multimodal Large Language Models (MLLMs) represents a promise of lower human intervention and easier deployment, but the consistency of their predictions under camera movements and
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validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie