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therefore to develop cropping systems capable of combining these levers while maintaining economically attractive production. o The RhizoSeqC project is supported by the French FairCarbon program. The project
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more efficient, dynamic, and autonomous. Conduct research and development activities in the field of network modeling and optimization. ACTIVITIES: 1/ Research in optimization and networks
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learning. However, conventional neural networks are not well-suited to the computational constraints of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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evidence for informing CPGs. The objectives are to describe the level of evidence informing the recommendations of major CPGs and its evolution over time, assess the feasibility of generating evidence using
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. Characterize transcriptional changes during epithelial morphogenesis. Develop methodologies to link gene expression, systemic factors, and tissue dynamics. Develop methods to integrate transcriptional and
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and
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, transparent photovoltaic cells. Efficient photovoltaic technology in the NIR would enable the development of colorless, transparent solar panels that could be integrated into the glazing of buildings, vehicles
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stimulation channels. One of the main challenges in developing oCIs is identifying a channelrhodopsin capable of stimulating cochlear neurons at a high frequency. Recent work from our group shows that partial