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with the University of Poitiers and ISAE-ENSMA (partners). It has around 600 staff: 200 EC, 40 researchers, 100 IT, 180 PhD students and 40 fixed-term contract staff. The research work will be carried
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that the macroscopic light-to-heat conversion efficiency of photothermal nanoagents can be precisely measured with quantitative photoacoustic spectroscopy (Lucas et al., 2023). For this purpose, we determined
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of an Electrochemical Measurement at the Limits for Biosensor Applications Previous work has demonstrated the potential of electrochemical measurement using high-frequency (GHz) techniques, achieving faradaic current
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addressing these research questions. Working context The selected candidate will work at the Institute of Environmental Geosciences (IGE) in Grenoble, located in the French Alps. IGE is a public research
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reactions. The recruited QUANTASTIC PhD student will: -Contribute to the development of an experimental setup, -Develop and evaluate different kinetic models, including runaway scenarios, -Work in close
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is supported by the ANR project Data2Laws, part of the PEPR
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the PhD students and technical staff involved in the project, and will take part in both field and laboratory experiments. The fixed-term contract is offered for one year, renewable Organisation and
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using neural networks (DNNs). The PhD work will focus in particular on the prediction of extreme weather events and will use meteorological data bases provided by Météo-France [py4cast, 2025; Anemoi 2024
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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well-known to play a role in the good attachment of the plasma polymer to the substrate. However, there is an absence of studies and effort dedicated to isolate the phenomena involved in the plasma