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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Applied Physics and Electronics currently has about 100 employees and conducts research in
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quantitative research design and statistical analysis, preferably in neuroscience, medical imaging, biomedical engineering, or related/close fields. In ranking qualified applicants, special consideration will be
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combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
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for transcriptional profiling of single microorganisms at ultra-high-throughput. We will apply it to investigate the biological mechanisms that drive infection, pathogenesis, and antibiotic resistance. This project
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foreign qualification equivalent to a doctorate in computer science, mathematics, or engineering physics. Requirements: Comprehensive knowledge and practical skills in the field of data science, especially
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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice
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. The core work responsibilities include compilation and analysis of metagenomic data in clinical translational projects. The application deadline is 9 November. Description of the project The work will be
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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of 3D genome and epigenomic landscape orchestrates gene expression programs that underlie neuron-to-glioma communication. In this project, we will use single-cell sequencing methods, bioinformatics, and
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The extensive use of broad-spectrum antibiotics is a major aggravator of the alarming spread of antimicrobial resistances. Moreover, it impacts patient health negatively by its devastating collateral effects