Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Heidelberg University
- DAAD
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Forschungszentrum Jülich
- Max Planck Institute for Biogeochemistry, Jena
- ;
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institute for Demographic Research (MPIDR)
- 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
- Max Planck Institute of Psychiatry, München
- University of Greifswald
- 11 more »
- « less
-
Field
-
of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
-
or transnationalization research. Job description: - carry out extensive online literature searches & summarize findings in English - quantitative analyses of data sets with STATA or R - provide general project assistance
-
Collection, cleaning, and handling of various datasets for research purposes Performing statistical analysis, e.g., in Stata, R, Python, or similar programming languages Basic standard coding of survey
-
conducting human studies with human participants including participant recruitment, data collection, and management of data Advanced skills in statistical analysis using software such as R, STATA, or SPSS
-
., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
-
data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
-
well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals
-
techniques is an advantage • Prior experience with Python and R programming is considered an asset • Highly motivated, team-oriented, and well-organized • Good English communication skills (spoken and
-
experience in the field of R-supported programming (others possible, e.g., Python) of complex data preparation and evaluation procedures as well as very good knowledge in the acquisition and processing
-
) networks. Hydrology and Earth System Sciences, 22(11), 6005-6022. (2018). [2]. Chen, R. T., Rubanova, Y., Bettencourt, J., & Duvenaud, D. K. Neural ordinary differential equations. Advances in Neural