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) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge of European marine ecosystems as
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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Zukunftslabor Grüner Wasserstoff zum nächst möglichem Termin in Vollzeit zu besetzen. Ihre Aufgaben: Als eine(r) von drei WissenschaftlerInnen (mit abgeschlossener Promotion / post doc- bzw. Professoren-level
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage
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Balaish, JLM Rupp, Design of triple and quadruple phase boundaries and chemistries for environmental SO 2 electrochemical sensing, Journal of Materials Chemistry A, 2021 3. M. Struzik, I. Garbayo, R