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Field
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data analysis is desirable but not mandatory. The successful applicant is expected to work independently as well as collaboratively within an international research team while pursuing a PhD degree
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, tensile/fatigue testing). Residual stress analysis (ex‑situ and in‑situ) and correlation of experimental data with numerical simulation results. Development of numerical and multi-scale simulation models
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metagenomic data) in relation to health outcomes Ability to liaise between disciplines, bridging between medical infrastructure and clinical as well as basic research Experience or interest in data analysis
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | about 1 month ago
organization & architecture, Microbial communities & host-microbe interactions, Natural products & chemical biology, Physical biology, Physiology & metabolism, Signal transduction & information processing
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reporter lines Presentation and publication of scientific data Your profile: Diploma or master’s degree in biology, biochemistry, or closely related field Open mindset and enthusiasm for scientific work and
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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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of ‘barren plateaus’ - develop and document measurement schemes and data processing protocols to efficiently certify key quantum resources (such as entanglement fidelity), minimizing experimental overhead
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information For detailed information please see the “Call for scholarship application” .
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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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) Further information: