Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Heidelberg University
- University of Tübingen
- Free University of Berlin
- DAAD
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Leibniz
- Max Planck Institutes
- Forschungszentrum Jülich
- Georg August University of Göttingen
- German Cancer Research Center (DKFZ) Heidelberg •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Leipzig University •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute of Biochemistry •
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Geoanthropology, Jena
- Technical University of Darmstadt •
- University of Bremen •
- University of Tübingen •
- 13 more »
- « less
-
Field
-
, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
-
. As a model intercomparison project, TIPMIP brings together international modeling groups to jointly develop and run computer simulations. In this way, TIPMIP creates a unique data basis for
-
generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
-
debuggers Knowledge of processor architectures, software development, compiler construction, machine languages, or assembly Programming experience in several languages good knowledge of German and English
-
research of mobile and optical communication networks and systems, as well as in machine learning, computer vision, and the compression of digital video. Become a part of our team and join us on our journey
-
qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
-
” group, we work on digitizing building data and making it usable for automated applications and optimizations. To this end, we have developed a web app that uses an AI-based pipeline (computer vision, LLMs
-
of Avestan (at least of the Avestan alphabet) • good computer skills • Knowledge of Middle and New Persian is very welcome • Knowledge of transliteration • precise and reliable work and ability to work in a
-
computer programs High level of commitment and flexibility Physical resilience What we offer State-of-the-art laboratory equipment and analysis technology Varied and challenging work An open-minded, helpful
-
publications and open-source research software. Your Skills and Professional Profile (required) Master’s degree in robotics, mechanical engineering, electrical engineering, computer engineering, or a closely