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                Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report 
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                the application of machine learning for official statistics. The subject of the thesis will be "Exploring Large Language Models for Data-to-Text Problems" and involves the study of technical methods and approaches 
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                Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities 
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                30 Sep 2025 Job Information Organisation/Company University of Luxembourg Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country Luxembourg Application 
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                Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities 
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                25 Sep 2025 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Country Luxembourg 
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                Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities 
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                handling large datasets (e.g., using SQL) and data pipelines Ability to work with data visualization tools to communicate findings clearly Willingness to work in a highly interdisciplinary context and deploy 
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                mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome research in 
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                and ecohydrology would be ideal but is not required. Experience in big data analysis, data science methods, Machine learning and/or artificial intelligence would be a strong asset. ·You enjoy both