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Field
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quantitative data analysis. The student will gain hands-on experience in chromatin reconstitution, advanced singlemolecule force spectroscopy coupled with fluorescence microscopy, computational modelling, and
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project, you will develop innovative workflows that visualize and quantify the biodistribution of all ADC components, including: Total ADC; Total antibody; Free payload. Using state-of-the-art molecular
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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
establishment, optimization, and troubleshooting for robust and reproducible outcomes Computational and digital research skills, including RNA-seq data analysis, R-based statistical analysis and visualization
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irradiation environments. Computational Skills • Python programming (data analysis and scripting). • Linux environments and high-performance computing (HPC) systems. • Simulation data management, post
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training through high-fidelity 3D visualization (PhD 5). The vacant research position corresponds to the abovementioned ‘PhD 1’ in the FireRisk project. More specifically, you will combine spatial data
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. Expertise in either scientific programming (C/C++/Python/Matlab/R) or experimental immunology (Flow cytometry, next generation sequencing) with experience in scientific data visualization (Python/Matlab/R) is
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computing using clusters like UPPMAX and GPUs for high-performance computing are essential. While not required, experience in genetic and omics data analysis and visualization, and familiarity with network
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the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work with large acoustic datasets and
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); Experience in quantitative data analysis and visualizations with R and/or Python; Interest in working with behavioral data, such as movement trajectories, interaction logs, task performance, and eye-tracking