Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- University of Tübingen
- Leibniz
- Forschungszentrum Jülich
- RWTH Aachen University
- ;
- GFZ Helmholtz Centre for Geosciences
- GFZ Helmholtz-Zentrum für Geoforschung
- Ruhr-Universität Bochum •
- DAAD
- Dresden University of Technology •
- Helmholtz Centre for Environmental Research - UFZ •
- Leibniz Institute of Vegetable and Ornamental Crops
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Saarland University •
- Technische Universität München
- University of Bremen •
- 11 more »
- « less
-
Field
-
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
-
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
-
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
-
1992, the Max Delbrück Center is home to a vibrant community of 1,800 people from more than 70 countries. The Global Fellow postdoctoral program at the MDC is a strategic initiative to recruit
-
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
-
. Its lean governance structure supports an agile and efficient implementation of its vision. Its sustainable, 37-hectare and partly residential campus will form the heart of a new district in Nuremberg
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
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
-
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
-
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