Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- Academic Europe
- RWTH Aachen University
- DAAD
- GFZ Helmholtz Centre for Geosciences
- GFZ Helmholtz-Zentrum für Geoforschung
- Ruhr-Universität Bochum •
- Technical University of Munich
- University of Tübingen
- Dresden University of Technology •
- Fraunhofer-Gesellschaft
- Freie Universität Berlin
- Friedrich Schiller University Jena
- Helmholtz Centre for Environmental Research - UFZ •
- Institute of Ophthalmic Research, Center for Ophthalmology Tübingen
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Saarland University •
- University of Bremen •
- 11 more »
- « less
-
Field
-
equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
-
13 Oct 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
) 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
-
14 Sep 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
-
a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
-
a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
-
a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
-
partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
-
international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence