Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- DAAD
- Forschungszentrum Jülich
- Leibniz
- University of Tübingen
- Max Planck Institutes
- ;
- Ludwig-Maximilians-Universität München •
- Technische Universität München
- Free University of Berlin
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Molecular Cell Biology and Genetics
- Max Planck School of Cognition •
- Saarland University •
- TECHNICAL UNIVERSITY MUNICH (TUM)
- Technische Universität Darmstadt
- University of Tübingen •
- 15 more »
- « less
-
Field
-
Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from the 01.10.2022. The Trustworthy and Privacy-Preserving AI Group (PI: PD Dr. Georgios Kaissis) at the Institute for AI in
-
at the brand-new “Innovation Park Artificial Intelligence” at our branch in Heilbronn (ipai campus ). Together with leading partners from industry and science, you will research and develop electronic CMOS
-
Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
-
22.10.2020, Wissenschaftliches Personal PhD and PostDoc Positions in Visual Computing & Artificial Intelligence: we are looking for highly-motivated PhD students and PostDocs at the intersection
-
. In addition, the Medical Faculty would like to further develop the subject areas of prevention and artificial intelligence, causal methods and public health. Active participation in the ethics
-
significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
-
Artificial Intelligence – ScaDS.AI. We seek to fill the above position as soon as possible (e.g., Oktober 1, 2025). This interdisciplinary project investigates how physical systems can serve as computational
-
to real-time data acquisition during production, consulting, and prototype manufacturing. The employees conduct research in many innovative topics, such as artificial intelligence, data-based quality
-
modeling (FEM), and thermodynamic/kinetic simulations using tools such as Thermo-Calc and CALPHAD first experience in applying artificial intelligence and machine learning techniques to Materials Science
-
automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable