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(e.g., including simulation, prediction). Enable the evolution of integrated data/models all along the Digital Twin lifecycle Ensure the consistency of integrated data and models with regard to potential
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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for the local energy community. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: · Generating models and simulating
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activities are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the CSATLab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may
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data-driven models, mixing knowledge about human modelling, the driver-car-tire system and its environment, with telemetric and physiological data gathered from a world-leading car simulator. Your role
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challenges in urban development. You will explore exciting areas such as applying machine learning models to analyze urban mobility patterns, identifying gaps in transport accessibility, and supporting
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methods and approaches for testing the reliability (in particular, the security) of machine learning systems (including generative AI and large language models) against various threats that may occur in
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about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT) with hardware in the loop functionalities to test
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: https://www.list.lu/ . How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT) with hardware in the loop functionalities to test and validate AI-based