Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Free University of Berlin
- DAAD
- University of Tübingen
- Heidelberg University
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- ;
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics
- Technische Universität München
- University of Bayreuth
- 6 more »
- « less
-
Field
-
. The Leibniz-LSB@TUM comprises a unique and world-leading research profile at the interface of Food Chemistry and Biology, Chemosensors and Technology, and Bioinformatics and Machine Learning. Leibniz-LSB@TUM’s
-
machine learning methods based on specific problems The targeted visualization of results is also within your area of responsibility What you bring to the table You are studying physics, mathematics
-
neural simulators (NEST, Brian, etc.) and/or machine learning frameworks (PyTorch, Tensorflow, etc.) is a plus Experience with spiking neural networks and/or neuromorphic computing is a plus Please feel
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Photonic Networks and Systems department is conducting research on the next
-
mining and machine learning Leibniz-IWT is a certified family-friendly research institute and actively pursues equality for all groups of people. We promote the professional development of women
-
community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in the Climate Change Era. We aim to attract the best
-
from the vibrant research community around machine learning of the SCADS.AI center ( https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in the Climate Change
-
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
-
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
-
willingness to engage in interdisciplinary cooperation as well as cooperation with existing research groups in mathematical physics, dynamical systems, data science, machine learning, control theory