Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- University of Tübingen
- Leibniz
- Heidelberg University
- 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 •
- 8 more »
- « less
-
Field
-
this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
-
students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
-
) Student Administration University Library Online Course Catalogue Webmail Uni Tübingen Advice for International Students Uni-Tübingen University Back Profile Back Facts and Figures Values and visions Awards
-
) Student Administration University Library Online Course Catalogue Webmail Uni Tübingen Advice for International Students Uni-Tübingen University Back Profile Back Facts and Figures Values and visions Awards
-
planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
-
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
align with long-term vision and impact. About the Research Group Our Algebraic Systems Biology group led by Prof. Dr. Heather Harrington creates mathematical approaches for complex biological systems. We
-
the institute (e.g., the other research hubs) is expected, as well as an active contribution to creating a modern vision of research on education and its implementation at the institute. Close interdisciplinary
-
optical communication networks and systems, as well as machine learning, computer vision, and compressing digital videos. Become a part of our team and join our scientific team in the multimedia
-
of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
-
of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our