Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Heidelberg University
- University of Bremen •
- Universität Hamburg •
- Heidelberg University •
- Helmholtz-Zentrum Geesthacht
- Justus Liebig University Giessen •
- Karlsruhe Institute of Technology •
- Leibniz
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Saarland University •
- TU Bergakademie Freiberg
- University of Bonn •
- University of Göttingen •
- University of Konstanz •
- University of Münster •
- University of Stuttgart •
- 10 more »
- « less
-
Field
-
the research profile of the University of Bremen. Rooted in computer science, Minds, Media, Machines connects researchers from eight faculties of the university with numerous internal and external partners
-
political science, sociology and economics. Synergies also emerge from sharing methods, such as statistical methods and methods for data collection. The GSBS provides coursework in the respective fields
-
have the knowledge and abilities necessary for such endeavours as well as being theoretically and methodically competent in relation to the subjects at hand. Language requirements Candidates must be
-
data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name but a few
-
Understanding of physical principles of MRI Ideally experience with machine learning and numerical methods Expertise in programming (C/C++, Python, Matlab) Excellent problem-solving skills and a collaborative
-
mathematical problem-solving skills Enjoy applied mathematical optimisation and motivation to implement your models and algorithms in software Ideally knowledge of mathematical modelling and numerical methods
-
investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
-
techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. The corresponding reaction mechanisms