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, machine learning, data visualization, digital hermeneutics; an interest in media history or history of technology would be an asset Fluency in English and good knowledge of French or German Ability to work
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Natural Language Processing and Understanding Text mining and information extraction Machine learning Document Intelligence Background in any of the following topics: Financial Technologies Regulatory
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, the project undertakes a municipal structure and actor analysis, implemented through case studies. These include youth surveys, an examination of local governance mechanisms, the provision of local
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contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries
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related field Demonstrated experience in interdisciplinary research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong
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initiative. Your role will support the modelling, simulation and analysis of non-electrical infrastructures—namely gas networks, hydrogen pathways, and thermal systems—within integrated multi-vector scenarios
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experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data. The researcher will be also working
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compounds using Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Rheology, Dynamic Mechanical Thermal Analysis (DMTA), Dilatometry, Atomic Force Microscopy (AFM), and Transmission
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will be supported by a dedicated technician, who will be recruited concurrently for this project. Tasks: Coordinate experiments for the TARGET-SEQ project Conduct bioinformatics analysis and implement
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-MS/MS based methods for the analysis of these carcinogenic pollutants/metabolites from different chemical classes in hair, blood and urine samples. The study will also involve conducting a pilot