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methodologies to improve energy performance in the production and use of hydrogen. The ability to build and set up testing equipment for the experimental characterization of Membrane Electrode Assemblies (MEA
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such as tests or questionnaires may be used. Furthermore, group tests and/or practical tests may be administered. Evaluation criteria The selection process includes two evaluation moments led by
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collisions recorded by the ATLAS experiment at the LHC. The analysis will be carried out in different energy regimes, including those that are still largely unexplored, in order to test the predictions
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; Developing advanced generative models to simulate patient health trajectories, including disease progression, based on real-world data, enhancing predictive modeling and allowing for scenario testing in
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sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
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. Strong software engineering background, ideally including: Robotics, automation, and AI innovations DevOps / MLOps / CI/CD Large-scale systems Empirical software engineering Testing and validation
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) Testing the Standard Model with the LHCb-Upgrade experiment in high-rate conditions; 3) Theoretical aspects of the fundamental interactions and early cosmology; 4) Observation-driven models of galaxies and
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theoretical frameworks to prove security properties and safety guarantees in agentic AI systems. Publish research findings in top-tier academic conferences and journals, contributing to the broader scientific