Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Academic Europe
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Geesthacht
- Karlsruher Institut für Technologie (KIT)
- Max Planck Computing and Data Facility (MPCDF), Garching
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Saarland University
- Technische Hochschule Köln
- University of Oldenburg
- 5 more »
- « less
-
Field
-
algorithms to fuse both methods. For example, the fusion may use the coarse 3D model from stereo reconstruction as a starting point for planning high‑resolution laser scans. You will evaluate the results
-
classification algorithms need to be extended with the capability to detect out-of-distribution environments and to autonomously infer their traversability. In this thesis, you will design a semantic
-
The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
-
to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph Theory offers a position as
-
Isaac Sim, ensuring realistic physics for hybrid locomotion. You will develop and train RL algorithms for hybrid locomotion tasks, including transitioning between locomotion modes and balancing on uneven
-
the robot and sensors. You will evaluate the methods for completeness, robustness, and runtime on representative datasets and iteratively improve both the setup and the algorithms. What you contribute Very
-
, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
-
or more of the following areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent
-
Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
-
effectively over extended distances. For this purpose, it is essential to develop a robust mapping algorithm, that allows for continuous, online map growth during exploration and mapping operations. The map