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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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. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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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 | 9 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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structure of the resulting supracrystals plays a key role in determining their macroscopic properties, and hence their suitability for technological application as e.g. catalysts, sensors, or photonic
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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
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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that shape the design of these circuits. The lab is dedicated to medical algorithmics on the applied research front, emphasising technologies implementable within hospitals. Notably, the lab’s medical image