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the application you agree that your personal data will be shared among the participating institutions (University of Tubingen, University of Hohenheim, Senckenberg) for the purpose and over the duration
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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. The successful candidate should have experience with advanced astrophysical data analysis in the context of multi-mission and multi-wavelength observations including e.g., Fermi-LAT and imaging X-ray
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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stay in Germany promote existing cooperations? Submitting an application General information on the application via DAAD portal You can access the DAAD portal by clicking "Application portal" at the end
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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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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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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer