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for the electrochemical community. In this work, we aim to study the mechanical properties of electrodes during charge/discharge cycles, in parallel with the ionic insertion/deinsertion phenomena observed by
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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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will be expected to contribute to these publications. - The recruited postdoc will be offered the possibility to contribute to the modeling and bioinformatic aspect of the project, if desired
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convective heat flux are assumed to be uniform [Berger 2021]. (ii) Second, the envelopes are composed by association of multiple plane layers of different materials. Considering these observations
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, and natural product synthesis. Despite their vast applications, these reactions heavily rely on toxic organic halides and organometallic reagents that require multiple preparation steps and often lack
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, optics). Perform advanced optical and electrical characterizations. Test fabricated devices. Communicate results internally. Document processes, write technical reports, and contribute to intellectual
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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-derived substrates, focusing on yield, selectivity, and stability. Investigation of reaction mechanisms and charge transfer processes to identify scientific bottlenecks and propose strategies
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-month postdoctoral contract focusing on data processing and the retrieval of information on aerosol heterogeneity from photometric observations made by the AERONET network. This position is part of a
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform