Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Brandenburgische Technische Universität Cottbus
- Fraunhofer-Gesellschaft
- Leibniz
- Academic Europe
- DAAD
- FH Münster
- GFZ Helmholtz-Zentrum für Geoforschung
- University of Tübingen
- European Magnetism Association EMA
- Goethe University Frankfurt
- Goethe-Universität Frankfurt am Main
- Heinrich-Heine-Universität Düsseldorf
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum für Infektionsforschung GmbH
- Karlsruher Institut für Technologie (KIT)
- LEUPHANA UNIVERSITY OF LUENEBURG
- LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN
- Leibniz Universität Hannover
- Max Planck Institute for Demographic Research (MPIDR)
- Technische Hochschule Köln
- University of Göttingen
- University of Oldenburg
- apoQlar
- 16 more »
- « less
-
Field
-
robotic system design, humanoid robot development, manipulation and bimanual manipulation, control, or machine learning for robotics. Excellent project management skills to meet and achieve the expected
-
further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
-
in medicine and other study programmes and graduate initiatives in which the Faculty of Medicine is involved is expected. Beyond the core research area, the appointee will also teach in all degree
-
areas best match your interests. You would like to learn more about our institute? Get to know the Fraunhofer ITWM and gain insights into our Institute. (youtube.com) What you will do At our institute
-
of the hazardous space radiation environment and developing tools for the prediction of the adverse effects of the space environment utilising satellite observations, physics-based numerical models, machine learning
-
ENGAGE Network at TUM and GIM Robotics. About the ENGAGE Network Mobile working machines (MWM) are critical to industries like construction, mining, and agriculture, and key to Europe’s sustainability and
-
of reaching climate neutrality by 2050. By leveraging characterisation, multiscale modelling, machine learning, and numerical optimisation, the project seeks to craft a magnetic multiscale modelling suite
-
Brandenburgische Technische Universität Cottbus | Senftenberg, Brandenburg | Germany | about 2 months ago
machine learning (data-driven modeling, machine-learned force fields (MLFF), structure-property relationships) for the evaluation of large data sets and to generate new research approaches. In teaching, the
-
the INW-1 machine learning team on data handling, online analysis, design of experiments (DoE), and data categorization to enable efficient and automated evaluation of operando experiments Collaboration
-
vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic