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) Probability and Stochastic Analysis, (4) Discrete and Geometric Analysis, (5) Statistics and Data Science, and (6) Partial Differential Equations and Modelling. The Faculty of Science, Technology and Medicine
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recognized for our GDPR compliant data hosting solutions and data management systems. We develop innovative methodologies for data mining, federated data analysis, and data FAIRification. We strongly advocate
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the project to build together a complete mutli-agent testing framework. A combination of software testing, AI / LLMs, and empirical analysis techniques will be used. You will be in charge of: Extending the LIST
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to the development of innovative solutions for the collection, processing and analysis of field data and samples Organising the processing and management of various types of environmental data used in spatial tools
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Research Group. Tasks: Conduct and co-lead quantitative research within large-scale mixed-methods projects Contribute to and coordinate primary data collection and analysis (e.g. surveys, survey experiments
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for the HBSC project Contribute to the quantitative analysis of the Luxembourgish HBSC 2022 data Contribute to the preparation of the Luxembourgish HBSC 2026 survey Contribute to the preparation of the National
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), a pioneering European project funded by the Innovative Health Initiative (IHI). IDERHA is building a federated health data platform to enable seamless integration and analysis of diverse biomedical
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on more applied initiatives that study and recommend AI solutions based on their needs, taking into account our testing results. A combination of software testing, AI / LLMs, and empirical analysis