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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 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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understanding of world events, systems, and discrete entities Apply the scientific method across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic
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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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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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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
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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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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education and has grown to encompass a network of specialty clinics, multiple research and clinical trials, an infectious diseases/HIV education program, an international research program in East Africa and a
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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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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