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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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interfaces to enable their exploratory and computational analysis. Conduct original data-driven historical research on newspaper and radio sources Contribute to the development of innovative computational
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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, focuses on assessing and enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. How will you contribute? We are seeking for a highly motivated
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific ambition and target
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development. The University invests in its knowledge and technology transfer through an attractive intellectual property policy and numerous partnerships. 7,500 students are enrolled at Uni.lu, of which 1,000