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the country of host institution for more than 12 months in the 36 months immediately before their date of recruitment. Must fulfil the conditions for enrolment to PhD programme at the host institution
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12 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics
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the conditions for enrolment to PhD programme at the host institution. For details about the criteria, please refer to detailed description of positions found at https://desire-msca.eu/ or contact desire-project
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history (PhD) - Methods and tools for data production (in-depth knowledge) - Professional environment and networks (general knowledge) - Legal and ethical framework (in-depth knowledge) - Written and oral
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The proposed work involves developing a real-time water
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Marie Sklodowska-Curie Action (MSCA) Doctoral Networks
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 months 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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optimality and allows influence to be assessed at various stages of optimization. 2. Addressing Computational Challenges** Applying influence functions to deep neural networks presents **computational