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Field
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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Technologies (Ireland); and a network-wide training program. Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built
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architecture by modulating the dynamics and functions of cohesin, thereby enabling the cell to adjust its transcriptional programme in response to stress. The project is structured around a three-year thesis
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information theory: designing and analysing error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-10248 Requirements Skills/Qualifications Expertise in computer graphics and AI, possibly including physical simulation and PDEs. Knowledge of C/C
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real‑time anonymization in practice. The researcher will develop hardware‑aware neural architectures with hardware-in-the-loop optimization and efficient inference strategies to meet the computational
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the design, implementation, and experimental analysis of system software (e.g., OS concepts, portability, verification) and/or digital systems (e.g., MCU architectures, partial reconfiguration, EDA), as
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simulations, optical modeling, and rigorous experimental validation. The focus will be on the design, prototyping, and testing of a novel XAO instrument based on the iMz architecture. Unlike conventional
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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out at 3IT and LN2 under the supervision of experts in neuromorphic architectures. Through the cotutelle framework, the PhD candidate will spend extended periods in both France and Canada, ensuring full