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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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application. In this PhD, the focus is to rationally develop and process highly crystalline, X-ray sensitive lead-free perovskite material layers through micromanaging their electronic structure by composition
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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
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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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. Characterize the phase assemblages, mineralogical compositions, and textures of experimental samples through analytical methods such as electron microscopy, electron microprobe. Develop and implement
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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
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to prepare for an independent career track in academia. The vacancy: A 4-year PhD position is offered at the Institute of Astronomy, KU Leuven to work on scientific exploitation of the ground-based
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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