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management of research and industrial projects Acquisition of publicly funded research projects and industrial development projects Presentation of R&D activities at conferences, on committees and with project
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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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. Prerequisites Doctoral degree with 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
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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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of statistical modeling and inverse problems is desirable Experience with programming languages, e.g., C++, MATLAB, Python, Julia, R Joy in dealing with challenging and interdisciplinary questions Sound knowledge
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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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preferred but not essential. Advanced skills in statistical analyses, using R Project management and report writing Strong track record of international scientific publications Excellent written and oral