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develop techniques to tackle the dynamics of these systems both in imaginary and real time. The latter will form a quantum inspired quantum computer emulator that should be able to tackle large systems
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promising solution for scalable offshore applications where conventional fixed-bottom systems are impractical. These systems consist of multiple interconnected modules subjected to waves, current, and mooring
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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our institution: https://liubapapeo.wordpress.com/ https://sites.google.com/site/jrhochmann/ https://babylablyon.fr/ https://www.isc.cnrs.fr/en/homepage/ https://www.cnrs.fr/fr Where to apply Website
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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autonomous systems, robotics, flexible asset (e.g., storage, electric vehicles) management in smart grids, etc. You will publish scientific articles related to the research project. You will carry out a
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-stationarity. Potential application domains include autonomous systems, robotics, flexible asset (e.g., storage, electric vehicles) management in smart grids, etc. You will publish scientific articles related
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; Presenting results at international conferences (oral presentations and posters); Participation in the GeoPlanet Doctoral School (https://www.ing.pan.pl/en/education/geoplanet-doctoral-school ); The place of