Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Leibniz
- University of Tübingen
- ;
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- DWI Leibniz-Institut für Interaktive Materialien e.V.
- Leibniz Institute of Vegetable and Ornamental Crops
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Technische Universität München
- 3 more »
- « less
-
Field
-
through the EU Research Framework Programme? Not funded by a EU programme Reference Number 23/2025/2 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Leibniz
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The research group "Interactive and Cognitive Systems" investigates artificial and
-
biological, biotechnological and agricultural systems. The main focus is on machine learning approaches, in particular statistical learning, reinforcement learning, deep learning, and computer vision, as
-
university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm
-
scientific vision, planned research program, and its relevance to AngioCardioScience Two reference letters Please get in touch with any questions For scientific inquiries regarding the positions, please
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
-
cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
to problems were few data is available. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch, NumPy, Pandas and
-
your visions into reality.