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, motivations, and scientific goals The extragalactic celestial reference frame (CRF) is a practical realization of a quasi-inertial system based on precise positions of compact distant sources (quasars) with
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 7 days ago
Emeraude INRIA/INSA-Lyon research team which is physically based at the CITI Lab of INSA-Lyon (Villeurbanne, France). This PhD will be conducted under the supervision of Romain Michon (Inria) and Pierre
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requires, in accordance with the regulations, that the arrival of the agent be authorized by the competent authority of MESR. This project aims to develop submicron light-emitting sources based on thin film
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requirements. To overcome these limitations, the ANR-funded CALIFORCE3 project explores an innovative alternative: the development of a Membrane-Based Reciprocating Expander coupled with a Linear Alternator
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Offer Description Funding: 36 months, CIFRE (https://www.anrt.asso.fr/fr/le-dispositif-cifre-7844 ) Starting date: November / December 2025 Keywords: Physically informed machine learning, Industrial
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used to develop networks capable of self-learning and self-optimisation, adapting to real-time changes in traffic and demand. The successful candidate will contribute to designing solutions that optimise
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based on III-V semiconductor technology for agro-environmental and telecom applications Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5214-JEAGAY-081/Candidater.aspx Requirements
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as