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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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at the same time to mitigate CO2 emissions, and produce rich chemicals using exclusively solar photons. As known, the formation of C2H4 involves a complex twelve-electron transfer and multiple proton-coupled
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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skills: Proficiency in cell culture techniques and standard molecular and cell biology methods. • Computational skills: Experience in image processing (FIJI) and/or bioinformatics tools and/or programming
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realistic membrane environment in multiple redox states, in order to evaluate the thermodynamics of the process. We now intend to further our understanding of how this cytochrome functions by studying
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of absorbed light energy effectively converted into mechanical work. In parallel, the influence of the local polymer environment (the “photomorphon”) on photoswitch performance will be investigated using non
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major challenges. One of the most critical issues is related to the complexity of the multilayer architecture. Indeed, highly efficient OLEDs require the stacking of multiple organic layers to maximize
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., multiple degenerate mechanical modes (i.e., same frequency) used as nodes of the network [3]. To display quantum properties, a mechanical mode must be cooled down close to its ground state (i.e., down to a
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actors (Boucher et al. 2024, Määttänen et al. 2026). In 2025, the control module was coupled with the IPSL climate model (Boucher et al. 2020) to enable the simulation of SAI deployment by multiple actors
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strong potential as well for enhancing the quality of produce and positively influencing the sustainability of agricultural processes. The market of agricultural robots grew at a rate of 19.3% from 2021