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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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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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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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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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months. The candidate will hold a PhD in physics, geosciences, mathematics, or an equivalent field. Previous experience or demonstrated knowledge in palaeoclimate dynamics and climate modelling will be
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. The candidates have a PhD degree in Arts, Philosophy, or another relevant subject, concluded with excellent results (or will have it before the start of the employment), and meet the requirements for recruitment
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strategic use of political disinformation accusations across time and space, and contribute to high-impact publications. You will collaborate with other project members (PhDs, postdocs, principal and co
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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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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complete the requirements of the doctoral school at the University of Antwerp Profile You hold a PhD with a background in e.g. physics, chemistry or materials science You have advanced experience with