Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- University of Tübingen
- Leibniz
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Ruhr-Universität Bochum •
- ;
- DAAD
- Dresden University of Technology •
- Forschungszentrum Jülich
- Helmholtz Centre for Environmental Research - UFZ •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Saarland University •
- Technische Universität München
- University of Bremen •
- 7 more »
- « less
-
Field
-
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
-
for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
-
/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
-
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! We
-
. 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
-
computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
-
-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Since 2020, Fraunhofer Heinrich Hertz Institute has worked with United Nations
-
data to modeling in digital representations to the final visualization and human-machine interaction. We develop modern AI solutions in the areas of 2D/3D image and video understanding, computer vision
-
age-related macular degeneration (AMD). AMD is the most common cause of vision loss in elderly affecting about 300 million people by 2040. Currently, there is no effective treatment for the majority