Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Heidelberg University
- Humboldt-Universität zu Berlin
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Physics, Garching
- Stanford University;
- Universitaetsklinikum Erlangen
- University of Greifswald
- 4 more »
- « less
-
Field
-
Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
-
related field. You bring strong quantitative skills (e.g., R/Python, bioinformatics pipelines) and experience with high‑throughput sequencing and/or acoustic data analysis. You thrive in international
-
programming skills (e.g., Python, MATLAB, R) experience with large datasets desirable proficiency in English, both written and spoken (at least C1) German is an advantage willingness to work regularly on-site
-
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
-
., 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
-
programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
-
Proven publication activity in the field of microbiome research Sound knowledge of microbiological and molecular biological work Experience in the acquisition and management of R&D projects and
-
Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
-
, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect the ability