Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Academic Europe
- DAAD
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- GFZ Helmholtz-Zentrum für Geoforschung
- Goethe University Frankfurt
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Johannes Gutenberg University Mainz
- Karlsruher Institut für Technologie (KIT)
- Max Planck Computing and Data Facility (MPCDF), Garching
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Saarland University
- Technische Hochschule Köln
- Technische Universität München
- UNIVERSITY OF TECHNOLOGY NUREMBERG
- University of Oldenburg
- 14 more »
- « less
-
Field
-
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
-
and/or statistical algorithms to classify building and land-use types relevant to electrical consumption Label and prepare training data for AI models; develop automated pipelines for classification
-
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
-
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
-
iteratively improve both the setup and the algorithms. What you contribute Very good C++ programming skills Strong knowledge in mathematics and linear algebra Proficient English skills Precise, responsible
-
on bipolar plates. The internship focuses on the algorithmic evaluation of camera images. Your tasks will include researching and prototypically implementing the evaluation algorithms, as well as designing
-
energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity