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Field
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 3 months ago
organization & architecture, Microbial communities & host-microbe interactions, Natural products & chemical biology, Physical biology, Physiology & metabolism, Signal transduction & information processing
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for the analysis of stable carbon isotopes in methane using the Picarro system. You will collect quantitative data for MPn in water samples from the Baltic Sea and the Warnow Estuary in order to investigate its
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and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and spoken English skills Willingness to stay
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. The flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development. Data evaluation is an essential part of the project work to distinguish between
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with experience in causal inference using panel data (e.g., Difference-in-differences) solid knowledge of Stata, R and/or Python for conducting econometric analysis previous knowledge of conducting
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experience with methods of molecular biology and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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research. As an interdisciplinary team, we work in a well-equipped building located directly adjacent to Tübingen’s historic old town. More information about us and our institute can be found at www.hib.uni