Sort by
Refine Your Search
-
Listed
-
Employer
- Leibniz
- Nature Careers
- Heidelberg University
- Technical University of Munich
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Physics, Garching
- University of Greifswald
- University of Tübingen
-
Field
-
chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
-
Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
generation, gene/genome reconstruction, prediction of phylogenetic domains of DNA sequences and genes, molecular feature classification, and protein clustering based on structure and function. Skills in R
-
, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
-
-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
-
programming skills (e.g., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with
-
Biology, Physiology, or a closely related discipline Demonstrated expertise in molecular biology techniques (including metagenomics), bioinformatics and coding skills (R, Python, or equivalent) Proven
-
. 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
-
) 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
-
skills in statistical analyses, preferably using R Strong track record of international publications Excellent written and oral communication and project presentation skills in English Salary and benefits
-
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