221 assistant-professor-computer-science-data-"https:"-"https:" PhD positions in Germany
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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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of TUM. Kontakt: TUM School of Life Sciences, Functional Materials of Food Pagaging, application.fmp@ls.tum.de More Information PhD PhD in Stimuli-Responsive Elastomers, (Type: application/pdf, Size: 166.9
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“Behavioral Biology” in your submission. For questions about the position, please contact Dr. Claudia Fichtel (claudia.fichtel(at)gwdg.de ). For further information please contact phone: +49 (0)551-3851-105
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or interest in this position. General information and research topics of the Maaß-group can be found at www.maass.nu. The position is suitable for disabled persons. Disabled applicants will be given preference
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communication skills in English are mandatory German speaking skills are not required This is a wet-lab position, so applicants with a purely (bio)informatics background will not be considered. WE OFFER: Salary
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/ protein biochemistry expertise is of advantage • Experience in analyzing protein structural data (not necessarily acquiring the data) • Having already worked with GFP-like or Bacteriophytochrome-like
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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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Münster, the CoBIC Frankfurt am Main, the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and the Johannes Gutenberg University Mainz. RESPONSIBILITIES: Data collection using
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Center, the Campus Institute for Data Science, and the Campus Institute for Dynamics of Biological Networks. The eleven doctoral projects are spread across these Göttingen Campus institutes. We welcome
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) • Experience with plant water relations, plant hydraulics, or hormone signalling • Biochemical or molecular biology techniques • Experience with imaging, phenotyping, or data-driven analysis • Willingness