Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Free University of Berlin
- DAAD
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Karlsruher Institut für Technologie (KIT)
- Katholische Universität Eichstätt-Ingolstadt
- Leibniz
- Max Planck Computing and Data Facility (MPCDF), Garching
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Technische Hochschule Köln
- 5 more »
- « less
-
Field
-
? You have some experience in research and are familiar with maritime navigation or optimization algorithms? Great! You also have solid Python skills and enjoy working analytically and documenting your
-
/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
-
for the recognition, classification and characterisation of images in a wide range of dimensions, wavelengths and resolutions. Background: In computer graphics, accurately modeling and controlling structural elements
-
at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
-
/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
-
, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
-
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