Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- DAAD
- Leibniz
- Forschungszentrum Jülich
- University of Tübingen
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institutes
- Ludwig-Maximilians-Universität München •
- CISPA (at University of Stuttgart)
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- 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 •
- Technische Universität München
- University of Bremen •
- University of Tübingen •
- 13 more »
- « less
-
Field
-
07.05.2025 Application deadline: 13.06.2025 The University of Tübingen is a leading place for research in artificial intelligence with excellent research infrastructure and the University Hospital
-
and ongoing Master's or Diploma studies in Electrical Engineering, Computer Science, Artificial Intelligence, or a related discipline Strong understanding and hands-on experience with Spiking Neural
-
Your Job: Join AMI, the Artificial Materials Intelligence division at the IET-3 at Forschungszentrum Jülich to develop an Autonomous Multi-Agent Performance Prediction Framework for PEM water
-
languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 months ago
Job Code: Tü_93 Job Offer from April 24, 2025 The Max Planck Institute for Intelligent Systems is a world leading research institute in artificial intelligence, machine learning, and robotics
-
related discipline solid experience in bioinformatics, especially in the analysis of sequencing data proficiency in applying artificial intelligence methods to biomedical data strong interest in biological
-
functionalized quantum dots and single-molecule fluorescence microscopy Develop novel microfluidic techniques for molecular separation using artificial intelligence Collaborate closely with international research
-
artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
-
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
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
on artificial intelligence (AI), including machine learning, computer vision, and robotics. For this global organization that is pushing the boundaries of AI with cutting-edge high-performance computing, we