Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Leibniz
- Nature Careers
- Max Planck Institute for Biogeochemistry, Jena
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Extraterrestrial Physics, Garching
- University of Tübingen
- Humboldt-Universität zu Berlin •
- Ludwig-Maximilians-Universität München •
- MPINB
- Max Planck Institute for Meteorology •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- TU Bergakademie Freiberg
- 7 more »
- « less
-
Field
-
system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken
-
problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
-
field of study Interest in energy technology and energy economics Experience in energy system modelling is an advantage Basic programming skills, ideally in Python Independent and analytical way
-
knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
-
programming experience with ROS, C/C++, and/or Python We offer: attractive working conditions with an interesting, varied and challenging area of responsibility a high degree of creative freedom in your own
-
or a related field (M.Sc. degree or equivalent) Experience conducting observational or experimental studies with animals Quantitative skills in R or Python Excellent communication and teamwork skills
-
experience in Python or similar programming languages, experience in Linux/Unix computer environments, and experience in statistical analysis and visualization very good written and oral communication skills
-
with (scientific) programming (Python, R or other languages) Comfortable with mathematics and analytical systems thinking Curiosity and willingness to expand their knowledge in related disciplines Very
-
about the Amazon rainforest and willing to expand her/his knowledge in related disciplines Experience with programming (Python, Julia or other languages) and atmospheric transport modeling is beneficial
-
code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C