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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 6 days ago
. This initiative addresses a critical challenge in educational technology: developing AI systems that combine the pedagogical rigor and personalization capabilities of Intelligent Tutoring Systems (ITS) with
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environment such as Matlab/Simulink. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and
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optimize algorithms for analyzing behavior data. Build or implement existing scripts to temporally align data across multiple modalities. Coordinate efforts with DNB researchers and established vendors (Med
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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algorithms, and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations, i.e., home, clinic, outside hospital transfers, PACU, and emergency departments from all
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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environmental sensing. The incumbent will contribute to the development and deployment of real-time correction algorithms and hardware systems, leveraging GLAO technologies in collaboration with ULTIMATE-Subaru
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days paid annual leave, 11 public holidays, 13-month salary, statutory