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are challenging to detect early with conventional single-sensor approaches. To ensure reliability and enable predictive maintenance, there is a pressing need for AI-supported, high-speed non-destructive monitoring
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research and Innovation (UKRI). The research builds upon our
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | about 1 month ago
You will make predictions of deleterious mutations using methods based on evolutionary conservation and machine learning You will evaluate the impact of domestication and selection on genetic load and
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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years from January 2026, with possibility for extension. The position is associated to the ERC Synergy project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the
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frameworks to support predictive maintenance assessment of PV plants. Your main responsibilities will include: Developing and optimizing daylight luminescence imaging techniques for field inspection
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
develop innovative concepts for water and soil management. The research is based on in situ and/or controlled laboratory observations, and their interpretation in order to produce quantitative and
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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(Chetoui et al., 2022). Based on preliminary results, it is considered that adjusting cross-links (Lavrand et al., 2024) and GAG content (Scomazzon et al., 2021), on geometrically controlled structures, is