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into their operations. Additionally, we aim to develop simulation models capable of utilizing forecasted process knowledge graphs for optimization. These models will empower decision-makers with what-if analyses
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, Employability, and/or Organisation Studies). You develop your own research line and publish in international top journals within the field. You have an outspoken interest in fundamental scientific research and
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data and their biological or biomedical application. Develop the analysis strategy for cutting-edge, novel technologies as part of the interdisciplinary Innovation Lab. Troubleshoot and optimize analyses
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strategies for the analysis of spatial (multi-)omics data and their biological or biomedical application. Develop the analysis strategy for cutting-edge, novel technologies as part of the interdisciplinary
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of the time) and assistance in teaching (1/3 of the time) Excellent working conditions: https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information#workin… Professional development via the KU Leuven
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. ESAT of KU Leuven (Belgium). The goal of this research is to develop new machine learning methods for the quality assessment and enhancement of signals and annotations in time series data, with
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, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified young scientists in new scientific and technological knowledge. At the end
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. The starting date of the position is envisioned in October 2024. Within this position, you will be part of KU Leuven, a university where 13,000 colleagues together make top-level teaching and research possible
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sets as input. The objective of this project is to develop (a) framework(s)/methodology(ies) to extract time-aware features from (i) transaction, (ii) event, and (iii) interaction data of the financial
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determined by a combination of demographics that are unknown or unmeasured). This PhD-project aims to develop novel mixture SEM methods for finding clusters of subjects within groups that have the same latent