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(m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process: https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
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environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
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on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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laboratory (bio-)chemistry, beamtimes at synchrotrons, data analysis and comparison to expected physics. Due to the complex structure of the composite droplets, we expect emerging effects which can contribute
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the extension and will discuss this openly during the interview process. We’re looking for someone who is genuinely excited about social behavior and the brain, and who brings a combination of scientific
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scaffolds using electrospinning. Characterizing their physical, chemical, and mechanical properties. Modifying the scaffolds through process parameters, chemical synthesis and crosslinking strategies
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- Integrating exudation into the root economics space to better understand carbon and nutrient cycling in managed grasslands” is part of the DFG Priority Program 1374 “Biodiversity Exploratories”. The project