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of digital media, AI, political communication and democracy; • Has a strong foundation in quantitative research methods and data analysis (e.g. SPSS, R, Python); • Is willing to further develop digital
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antecedents. Research topic: The PhD project integrates computational content analysis, discourse analysis, and cultural transfer methodologies to examine the discursive and performative dimensions of diverse
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to endow these bio-inspired models with efficient processing capabilities. Structural plasticity for example consists in letting the network’s sparse connectivity evolve throughout training, while delay
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solver can not find any solution (unsatisfiability), these explanations are often not tailored to the needs of end-users. This project focuses on the analysis and co-creation of explanation types and
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institution. Detailed information about the program, including admission requirements and placement records, can be found at https://feb.kuleuven.be/ research/PhD/businesseconomics/Business The Department
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, qualitative and/or quantitative research methods and data analysis;•You possess strong analytical skills and are curious, critical, and able to work independently;•You communicate effectively, both in writing
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proficiency in French and German; knowledge of Dutch is an asset; basic knowledge of Middle Egyptian; experience with Greco-Roman temple inscriptions is an asset; experience with the analysis of organic remains
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closely with a network of support centres across Belgium. You will be responsible for data collection, the analysis of longitudinal and qualitative data, and the scientific reporting of research findings
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and practice. Your job will consist of the following activities: •Working proactively on the several steps of the research process (e.g. literature review, data collection, data analysis);•Writing
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information and proposed data structures in the newly established remanufacturing light house laboratories at Flanders Make @ KU Leuven, in Belgium, Heverlee, managed by the LCE research group. Through