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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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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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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
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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
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 2 months ago
on the program, eligibility and application . For further information, please contact the coordination office: contact@imprs-cms.mpg.de . Please note, that only applications submitted through our online
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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
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(e.g., 16S rRNA gene sequencing, metagenomics) and associated laboratory procedures Interest in the human microbiome and clinical research Experience in project and data management is an advantage
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. The institution sets its own deadline for the admission process. Please inform yourself in plenty of time about the application process at the host institution. Further information For detailed information please
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research and urban planning to collectively provide information for the planning and management of urban green spaces in the city of Munich and beyond. Through citizen engagement and stakeholder
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an existing coastal ocean model with an existing wave model and extend it by a module for sediment transport. Continuously collected field data and satellite remote sensing data will help you validate the model