Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Nature Careers
- University of Göttingen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- ;
- Deutsches Elektronen-Synchrotron DESY •
- Frankfurt School of Finance & Management •
- Heidelberg University
- Helmholtz-Zentrum München
- Justus Liebig University Giessen •
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- RWTH Aachen University
- TU Dresden
- University of Tübingen
- 10 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
-
and industry insights. The candidate will be expected to: Apply advanced analytical and AI methods to solve real-world operational challenges. Publish in leading journals and present research
-
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
-
: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
-
of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
-
related 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
-
completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS
-
. As part of the SPP, the SoilEnergySpots project is jointly led by Prof. Dr. Nicole Strittmatter (Analytical Chemistry), Prof. Dr. Mirjana Minceva (Biothermodynamics), and Dr. Steffen Schweizer (Soil
-
developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process
-
research proposal required for application with a timetable for the four-year research project. Required equipment will be set up and further development of relevant analytical methods will follow