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the University of Montpellier and the CNRS. It specializes in the study of sensors, components, and systems 2 intended for hostile environments. The primary objective of the IES is to design and develop innovative
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. Organic electronics offer a promising alternative to inorganic electronics for large-area applications, particularly in displays and flexible sensors. Among these devices, Organic Thin-Film Transistors
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 11 days ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially
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different approaches to develop fluoride fiber components and build optical benches to validate their performances. The second objective will focus on the design, realization and optimization of compact fiber
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digital collaborative tools and devices, which creates different dynamics and work strategies. This variability in collaboration configurations (synchronous / asynchronous / co-located or remote) can
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producing functionalized pyoverdine, which can then be conjugated to different molecules (for example, antibiotics) to develop targeted vectors or to explore new properties of the siderophore. In this context
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that must locally respond to different cues. While it is now well established that the axonal and dendritic compartments of neuronal cells contain specific reservoirs of mRNAs transported from the soma and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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defects induced by the connection of two crystal lattices of different geometry and orientation. We will then study the interaction of these defects with hydrogen, and their impact on hydrogen diffusion
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms