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engineering programme Its key research areas focus on construction within a sustainable environment, energy efficiency (in buildings and through AI for mobility), innovative AI-assisted design, digital twins
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to demonstrate the benefits of adaptive wireless communication parameter selection in terms of processing speed, throughput, and energy efficiency. This work directly builds upon Task 1 and the outcomes of WP1
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, a static converter, and renewable energies will be highly beneficial. Validation of findings will be carried out on technical platforms. Thesis topic: Frugal diagnostics and fault isolation in
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of the Bacterial Cell Wall Unit headed by Ivo G. Boneca. This is a collaborative project with the teams of Raquel Mejias-Luque of the Technical University of Munich and of Richard Ferrero of the Monash University
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organelles, and macro-complex structures in their cellular context (in situ structural biology). The laboratory Cell and Plant Physiology (LPCV), which aims to understand the adaptive response of microalgae
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» Environmental technology Technology » Energy technology Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Other Profession Positions Other Positions Application
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
11 Jul 2026 Job Information Organisation/Company Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA
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) Building on these previous studies, we propose to develop a biomaterial capable of covering the lesion, promoting the growth of a covering epithelium, and providing a watertight barrier to protect the spinal
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 27 days ago
to address these challenges is DNA-based data storage, which offers several advantages, including extremely high data density, long-term retention, and low energy consumption [2]. From a density perspective