Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- University of Tübingen
- Forschungszentrum Jülich
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Greifswald
-
Field
-
of the components of the climate system. As a suitable candidate you, have expertise in analyzing complex systems (e.g., using dynamical systems theory, statistical physics) and/or process-level expertise in a
-
. 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 statistics, as well as an advanced seminar course that covers recent research in neuroengineering materials (all taught exclusively in English). If you are interested in developing your teaching
-
and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
-
) 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
-
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
-
, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
-
requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
-
required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical
-
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