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and how these processes are affected by sex hormones. The doctoral student will use a variety of methodologies such as multi-color flow cytometry, RNA-seq, multiplex secretion analysis, high throughput
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master's degree from a university of applied sciences in the fields of social sciences, political science, or sociology Knowledge in the areas of stakeholder analysis, institutional and governance analysis
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-based metabolic modeling, next-generation sequencing data analysis (RNA-Seq, scRNA-Seq, metagenomics) and statistics is essential Given the international nature of our research group, excellent
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: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the plume propagation in the near field of the nozzle outlet. Multiscale simulations
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the sustainability transition. The IE Group conducts research at the intersection between life cycle assessment (LCA), other quantitative industrial ecology approaches (material flow analysis, input output analysis
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impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field of the re-entering
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, transcriptomic, and proteomic levels to elucidate the molecular makeup and phenotypes of these tumors. The advertised project focuses on a comprehensive analysis of the mechanisms by which bacterial species and
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. Previous experience with the handling of mice, especially surgical techniques, is favoured. Experience with the analysis of experimental data and high-throughput data (scRNA-seq, proteomics, etc.) is a plus
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and physical principles of negative ion mode LC-MS/MS-based peptide analysis. The project combines method development and mechanistic exploration with downstream applications in proteome
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis