Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Göttingen •
- University of Tübingen
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- ;
- Christian-Albrechts-Universitaet zu Kiel
- Deutsches Elektronen-Synchrotron DESY •
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Forschungsinstitut für Nutztierbiologie (FBN)
- Frankfurt School of Finance & Management •
- Fraunhofer Institute for Wind Energy Systems IWES
- Georg-August-Universitat Gottingen
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Helmholtz-Zentrum für Infektionsforschung GmbH
- Justus Liebig University Giessen •
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute of Animal Behavior, Radolfzell / Constance
- Max Planck Institute of Biochemistry, Martinsried
- University Hospital Regensburg
- University of Mannheim
- University of Stuttgart
- Universität Siegen
- 25 more »
- « less
-
Field
-
in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
-
Strong analytical and independent working style Excellent teamwork and communication skills You are independent, motivated, and passionate about shaping the energy transition—if this describes you, we
-
for the analysis of stable carbon isotopes in methane using the Picarro system. You will collect quantitative data for MPn in water samples from the Baltic Sea and the Warnow Estuary in order to investigate its
-
machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
-
of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected Results: Ability to assess
-
analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
-
, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
-
, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning
-
scientific hypotheses and questions Conducting scientific experiments and analysing data Writing peer reviewed scientific publications Actively interacting and collaborating with other partners in
-
vehicle. Multiscale simulations of the downstream expansion behaviour of the residuals for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected