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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive modelling. Furthermore, serve as the metabolomics subject
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Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard
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system level where the impact on the entire food system will be analyzed. Of interest are, for example, novel food technologies, but also well-known food processing methods such as for example tofu and
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) researches and develops knowledge about and innovative proposals for how planning processes can be further developed, and how both urban and built environments and buildings can be designed to better meet
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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to ensure optimal tissue concentrations during surgery. The PhD student will utilise national and international arthroplasty registry data, adapt in vitro diagnostic tools such as the Minimum Biofilm
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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salary plus allowances package according to the Marie Skłodowska-Curie / Innovative Training Networks rules. Selection process Have not been awarded a doctoral degree. Researchers who have successfully