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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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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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maintenance strategies represents a major industrial challenge at the intersection of system dynamics, control theory, and advanced signal processing. Current approaches exhibit complementary limitations: data
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. However, in many real-world and latency-critical applications, performance cannot be assessed solely through final recognition accuracy. Instead, the value of a prediction strongly depends on its timeliness
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parameters using experimental muscle and neural recordings Explore motor control policies that replicate observed behaviours Test simulation predictions against muscle ablation experiments Investigate how
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represent a major environmental and public health challenge, affecting water quality, aquatic biodiversity, and human uses. The research work will focus on the detection and prediction of these algal blooms
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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to identify, quantify and compare these precursors using controlled laboratory experiments on granular systems combined with advanced optical measurements, with the objective of improving failure predictability
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methods to understand and predict the adsorption, self-assembly, and protective behavior of N-heterocyclic carbenes (NHCs) on metallic and oxidized surfaces. NHCs are promising corrosion-inhibiting