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Acoustic Sensing'), we are looking to recruit a post-doctoral student to work on very low frequency signals recorded by Distributed Acoustic Sensing (DAS). This project aims to explore the capabilities
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data in order to predict the effects of ionizing radiation on living matter and to contribute to the development of innovative radiotherapies. These developments are carried out within a multi-scale
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technology. However, this system offers energy storage densities in the range of 15 to 60 kWh/m³, and storage duration is limited due to thermal losses. To mitigate these drawbacks, two options are currently
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be leveraged to train AI-based tools in order to enhance resolution of low-field NMR spectra for these isotopes. Diagnosing metabolic disorders in the human brain by the development of new pulse
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contributing factors are well known, their detection—a key element in risk prevention—remains challenging in some cases. Moreover, their effects on the environment, ecosystems, and consequently on future blooms
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, in the presence of water. The aim is to determine the oxidation mechanisms and kinetics of various metallic nuclear wastes in molten salts in order to define the optimum conditions for this process
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treatment and analysis. The samples can range from model systems like 2D materials or thin lamella of semiconducting samples, going closer to devices like phase-change random access memory (PCRAM
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heterogeneous media (Bodart et al., 2016) in order to account for fractures or reservoir-type sources located in a fully three-dimensional medium. Both methods are currently capable of calculating stresses and
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thesis work (defended at LMA in December 2024) on “Low-frequency passive imaging”. This work follows several studies on the subject (theses, internships and contracts) over a period of more than 10 years
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bandgap" components. Some of these devices are also required to operate under new and severe conditions, such as low pressure, high temperature, or very high voltage. In this context, the MDCE group work