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the eligibility of PIML / PINN models in both open and closed-loop contexts; - Derive the necessary conditions for that eligibility (data to collect, model architectures, training procedures, …); - Implement PIML
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29 Aug 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile Other Profession Positions PhD Positions Country France Application Deadline 16 Sep 2025 - 20:00 (Europe/Paris) Type of...
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properties (size, codon bias, etc.) - Test gene emergence by fusion/fission: trace the history of domain architectures and distinguish mosaics arising from ancestral modules or those introduced by HGT
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network capable of both inference and learning, aiming at investigating candidate architectures for ASIC design in a longer-term future beyond the scope of this PhD work. Thesis objectives As part of
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chiroptical spectroscopy and mass spectrometry. In addition, innovative approaches using metal ion aggregation and intrinsically supramolecular chiral architectures will be explored. Where to apply Website
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approaches using metal ion aggregation and intrinsically supramolecular chiral architectures will be explored. Marie Sklodowska-Curie Actions (MSCA) doctoral networks are joint research and training projects
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. The work is divided into 4 Tasks : Task 1: System Definition Define, in collaboration with the partners of the associated ANR project, the detailed specifications of the MDAL and its architecture. Model and
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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than conventional structures. Superstructure optimization, which uses a predefined architecture with numerous unit operations and possible paths, offers an alternative for identifying non-intuitive
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 29 days ago
architectures such as embedded Neural Processing Units – NPUs (i.e., ARM Ethos-U, STM32N6, etc.), smartphones, and custom architectures for AI-based real-time audio DSP relying on FPGAs (Field-Programmable Gate