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. IRT relies on statistical models in which an unobservable quantity—the latent variable—represents the ability or trait score. However, this latent variable is not uniquely defined, as an infinite number
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and limited resources (fleet size, mobile and fixed charging infrastructure). This project aims to address these challenges by developing novel mathematical models and algorithms to support real-time
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position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills are an asset.• You have an interest in supply
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28 Feb 2026 Job Information Organisation/Company KU LEUVEN Department ORSTAT/FEB Research Field Computer science » Database management Computer science » Modelling tools Economics » Business
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Environmental science » Global change Computer science » Programming Computer science » Modelling tools Computer science » Other Computer science » 3 D modelling Researcher Profile First Stage Researcher (R1
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8 Feb 2026 Job Information Organisation/Company KU LEUVEN Department OR/EB UGENT - OM/FEB Research Field Mathematics » Applied mathematics Computer science » Modelling tools Computer science
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5 Feb 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Computer science » Modelling tools Mathematics » Computational mathematics Mathematics
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gives rise to well‑known effects such as the Doppler shift, it is rarely modelled explicitly. With this research project, we aim to develop novel models and processing approaches for audio signals
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strength, muscle imaging, advanced EMG analyses, musculoskeletal modeling) in the context of childhood-onset neuromotor disability.•You have a clear ambition to strive for excellence in research and to