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for these radically different artefacts. Three objectives will be the determination of date, provenance, and production chain of both artefacts by experimental techniques combined with automated machine learning
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be analysed using network analysis and machine learning. Empirically, the project aims to understand what China, the US and Europe are doing to compete in semiconductors, cloud computing and space
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objective of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through
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Actuarial Sciences (ISBA) of the UCLouvain is seeking a talented post-doctoral researcher to join us to develop methods for learning extremal dependence based on X-vines, with special attention for aspects
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the catalyst’s dynamic evolution. The goal is to select model systems based on the complex reaction networks involved in the CO2-to-hydrocarbons process, using machine-learned models for a consistent
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calibration and acceptance tests of the devices to verify their performance on different samples, and engage with international laboratories to exchange knowledge and learn best practices for physical model
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variation in Dutch. You teach Dutch Linguistics I in Kortrijk, formal linguistics in the third Bachelor year in Leuven, and a Master’s course in formal morphology in Leuven. You take an active role in
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of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through this comparison, we aim
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why
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to use qualitative and quantitative tools to measure technological competition, as well as markets and patent databases, which will then be analysed using network analysis and machine learning. Empirically