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of investigating the relationships between microstructure, processing routes, and thermomechanical performance. The research will combine physics-based modelling and numerical simulations, including thermomechanical
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
., Revenko, A., Teije, A. T., & Harmelen, F. V. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. https://doi.org/10.1145/3586163 [2] Benoît Combemale, Pascale Vicat-Blanc
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 29 days ago
to prevent errors while the other assumes their presence [8]. In this project, we propose to explore an alternative route that combines both strategies: avoiding the majority of sequencing errors while
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Perception and Action research team under the supervision of Dr Dollyane Muret. Experimental work will be carried out at the INCC BabyLab (https://babylab.incc-paris.fr/ ), a research facility dedicated to
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Context and Challenges: Optical resonators based on metasurfaces could offer innovative perspectives for photoacoustic imaging, particularly due to their ability to combine guided-mode resonance and very
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Polytechnique (Palaiseau) as part of the Advanced Microscopy team. The host team offers an interdisciplinary environment combining optics, computer science, and biology. The work will involve daily interactions
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, stimuli-responsive materials, nanostructuring, and materials for energy. Six research teams combine their expertise in theoretical and computational chemistry, organic and inorganic synthesis, coordination
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The project is interdisciplinary, co-supervised by the GREYC and MODYCO laboratories, with support from the NIMH laboratory. It combines Natural Language Processing, linguistics, and cognitive psychology in
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Language Processing, stream analytics, IoT infrastructures, and agricultural robotics can be combined to create human-in-the-loop conversational interfaces for smart agriculture. The goal is to allow farmers
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges