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                to investigate the cellular organisation of complex molecular systems in their native context. This appointment is part of a strategic investment in advanced imaging and analysis to address fundamental questions 
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                expertise in fields that are of great important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and 
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                of geometric partial differential equations. He*She will be integrated into the faculty’s key research area Analysis, Geometric Structures, and Mathematical Physics. In addition, the candidate is expected 
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                join our accomplished team! Your responsibilities: As a University Assistant Praedoc, you will complement the research team focused on Byzantine Art History. The research emphasis lies in the analysis 
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                of Byzantine Art History (Faculty of Historical and Cultural Studies). The research focus is on the analysis of Byzantine visual art, taking into account iconographic, stylistic, and cultural-historical 
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                /communicative skills Knowledge of qualitative methodologies, including qualitative interviews, textual analysis, and content analysis Previous professional experience in the accounting field is desirable What we 
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                focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common interest 
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                (clinical, biostatistics, analytical, and bioinformatics scientists) and will streamline data analysis and integration across various domains. Regular publication of scientific and methodological results is 
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                discipline. Expertise in the field of empirical (educational) research. Strong methodological skills in quantitative research and experience with statistical analysis software (e.g., R, Mplus, JASP). Excellent 
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                results in peer-reviewed journals. This is part of your personality: Above-average Master’s degree or equivalent qualification in Data Science and Engineering. You have experience in data analysis and in