Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Max Planck Institutes
- Nature Careers
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- Academic Europe
- Bruker Nano GmbH
- CISPA (at University of Stuttgart)
- Forschungszentrum Jülich
- HBIGS Heidelberg Biosciences International Graduate School
- Hannover Medical School •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Sustainable Materials •
- Max Planck School of Cognition •
- Saarland University •
- TU Berlin
- Technische Universität Berlin
- University of Bremen •
- University of Tübingen •
- 13 more »
- « less
-
Field
-
chemistry and drug design, super resolution and cryo-electron microscopy, and artificial intelligence for molecular genetics. Course organisation The doctoral candidates' main focus is on original research
-
solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
-
development of artificial intelligence (AI) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms
-
Computer Science or Artificial Intelligence Strong programming skills in Python and at least one additional language (Java/Rust/C++) Knowledge in data processing with dataflow systems, relational databases and/or
-
Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 12 hours ago
and cognition to the development of novel methods in neuroimaging, computational neuroscience, and artificial intelligence. To cover this spectrum and provide top scientific quality, the IMPRS CoNI
-
Systems, Tübingen/Stuttgart in Germany. Together we want to build a lighthouse for machine learning and modern artificial intelligence in Europe. The cooperation spans all levels, from leading experts
-
Engineering or a related discipline. Experiences in Machine Learning, Deep Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch
-
machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg
-
for our clients from numerous industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, Next
-
solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire