Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- DAAD
- University of Tübingen
- Forschungszentrum Jülich
- WIAS Berlin
- Free University of Berlin
- University of Paderborn
- ; Technical University of Denmark
- Helmholtz-Zentrum Geesthacht
- Humboldt-Stiftung Foundation
- Humboldt-Universität zu Berlin
- Leibniz Institute for Neurobiology
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Duisburg-Essen
- University of Greifswald
- Universität Düsseldorf
- 11 more »
- « less
-
Field
-
doctoral degree (or expected completion within a few months), for example in economics, regional science, economic/quantitative geography, mathematics or related field demonstrated knowledge and experience
-
on the investigation of the mathematical foundations and regularities of many-body quantum systems. In alignment with our commitment to promoting gender equity in research, we are pleased to announce a distinguished
-
data analysis and develop sophisticated mathematical models for simulating power system behaviors under various scenarios. Development and Testing: Design and develop control algorithms to enhance grid
-
master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential
-
field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
-
performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
-
: Mathematics Max Wendell Batista dos Anjos: Physical Geography Paula Raile Riccardi: Animal Systematics and Morphology Slide 0 Slide 1 Slide 2 Slide 3 Slide 4 Slide 5 Slide 6 Slide 7 Slide 8 Slide 9 What we
-
good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
-
to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
-
for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering