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to mainstream sustainability in fashion. This PhD project will examine these challenges and their implications for sustainable development, exploring alternative models, practices, fibers and policies that can
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concerning the detection of casewise and cellwise outliers using robust statistical methods. This project is within the thematic field “Robustness in complex data analysis and statistical modelling
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collaboration, and who have experience in the following areas (with the first being the most important): Semantic web technologies and knowledge graphs (RDF, SPARQL, SHACL, etc.) Large language models (LLMs
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), consists of two main parts. First, the candidate will develop machine learning models aimed at improving the follow-up of neurocognitive function in critically ill children after discharge from the intensive
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via the following webpage: https://gbiomed.kuleuven.be/english/research/50000737/vacancy/2025/rese… Applying for this vacancy means that you choose one of these research projects based on your specific
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found at: https://joint-research-centre.ec.europa.eu/system/files/2014-08/jrc_gra… JRC cultivates a workplace based on respect for other people and the environment. The JRC embraces non-discriminatory
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information about your bachelor and master results • a research-based text from you (e.g. a scientific article, a chapter of your master's thesis) The Selection Committee will make a first selection by April 4