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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
of the energy sector. The aim is to develop methods based on data-driven optimization and ML that improve decision quality and simplify complex model chains. The considered use cases can be the classical ones
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) to explore the thermodynamics and energetics of driven-dissipative quantum systems. The position is part of the project OECQ (Optimising the energy cost of quantum computing) funded by BPIFrance, in
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: Developing AI-driven mechanisms to map disparate IoT protocols (e.g., Matter, CoAP, MQTT) to YANG models enriched with SID mappings, ensuring semantic consistency and interoperability. SID Registry Enhancement
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: (i) the synthesis of molecular complexes mimicking the Ln-PQQ complex;[2] (ii) the use of bio-engineered proteins.[3] In both cases, the catalytic activities were poor to moderate. The strategy
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). Using free modeling as an agile method for developing domain specific modeling languages. In Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Lan-guages and Systems
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20 Feb 2025 Job Information Organisation/Company IMT Atlantique Research Field Computer science Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
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This research will employ advanced error correction techniques and machine learning-driven optimization to dynamically adapt multicast communication parameters in real-time. It will develop mathematical models