Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Leibniz
- Nature Careers
- Technical University of Munich
- Heidelberg University
- Fraunhofer-Gesellschaft
- DAAD
- Free University of Berlin
- Forschungszentrum Jülich
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Demographic Research (MPIDR)
- ;
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Physics, Garching
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University of Tübingen
- 9 more »
- « less
-
Field
-
strong background in Applied Statistics) Knowledge of R, Python or Stata (and willingness to work with R) Experience in quantitative text analysis Very good command of English and German A substantive
-
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
-
software, functional data analysis, ideally, analysis of NGS/ RNA data • Proficient skills in one or more of the major statistical environments as R and/or Python • Experience working with life scientists
-
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
-
in population genetics and bioinformatics is essential experience with microbiological and molecular biological methods basic programming skills (e. g. Python, R) will be a plus good command of English