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Field
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on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification
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exploration, optimization, and search algorithms in extremely complex and enormously large spaces motivated by physics and chemistry (RL, BO, Large-Scale Ansatze, …) AI-driven discovery of hardware for some of
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their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The results of such behavior can vary from the indicated
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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effects within the DG framework Hydrodynamic drag for discrete elements Irregular Bathymetry Modeling Develop seabed interaction capabilities: Contact detection algorithms for irregular seabed profiles
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to apply Website https://www.cttc.cat/job/call-24-2025-1-senior-researcher-position/ Requirements Research FieldTechnology » Telecommunications technologyEducation LevelPhD or equivalent Skills
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of the bench required for the tests, participating in the definition of the experimental campaign, data collection, and subsequent processing. Where to apply Website https://sede.udc.gal/services
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of the bench required for the tests, participating in the definition of the experimental campaign, data collection, and subsequent processing. Where to apply Website https://sede.udc.gal/services
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algorithms for privacy preserving health registry data access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context
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interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth