Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Leibniz
- DAAD
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Hannover Medical School •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Universität Hamburg •
- ; University of Copenhagen
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Helmholtz-Zentrum Geesthacht
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Sustainable Materials •
- Technische Universität Berlin •
- University of Münster •
- University of Stuttgart •
- University of Tübingen •
- 16 more »
- « less
-
Field
-
research award programme, come to our online event and get information on the award and the application process from us directly. Click here for the next events. Our sponsorship The award amount is €80,000
-
/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
-
Verfahrenstechnik Osnabrück University of Applied Sciences Faculty of Engineering and Computer Science Trier University of Applied Sciences Institute for Applied Material Flow Management Humboldt-Universität zu
-
motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
-
right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
-
(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
-
one of the following certificates: TOEFL minimum of 550 (paper-based test), 213 (computer-based), 79 (Internet-based) IELTS minimum of 6.5 CPE minimum level C CAE minimum level C https://www.math
-
hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
-
existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
-
background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A