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storage, compression, and transfer systems suitable for large, long-duration experiments. • Build complete, user-friendly data-analysis workflows from preprocessing through visualization, and train
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capabilities. Project background The HoloPython project aims to develop a specialized Python-based software tool for the comprehensive analysis of data from holographic imaging systems. These systems, deployed
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. level bioinformatician. The facility is a centralized resource of expertise for the analysis and visualization of large-scale biological datasets, available to researchers at DBM and the Biozentrum
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analysis plans, and analyzing complex, often high-dimensional data to inform early go/no-go decisions and regulatory interactions. The Statistician helps shape the early clinical narrative by ensuring data
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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, the research group has investigated effects of trainings that help people recognize misleading data visualizations, thereby reducing their negative impact on information extraction (for example, see Rho et al
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) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
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data analysis and visualization Desired qualifications and skills: Prior experience with either severe thunderstorm dynamics or numerical modeling Familiarity in working with Linux on HPC clusters
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal