Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- DAAD
- Forschungszentrum Jülich
- University of Tübingen
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Humboldt-Stiftung Foundation
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Paderborn
- ; Technical University of Denmark
- Leibniz University Hannover
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Duisburg-Essen
- Universität Düsseldorf
- WIAS Berlin
- 7 more »
- « less
-
Field
-
teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
-
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
-
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
-
academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript
-
(Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript; experience in
-
significant physical and mathematical components. It is essential that you have the ability to conduct independent scientific research within a collaborative team environment and demonstrate enthusiasm
-
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