Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- DAAD
- Technical University of Munich
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Göttingen •
- Hannover Medical School •
- Justus Liebig University Giessen •
- University of Bremen •
- University of Tübingen
- ;
- EBS Universität für Wirtschaft und Recht •
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Mathematics •
- Max Planck Institute of Immunobiology and Epigenetics •
- Max Planck Institutes
- Ulm University •
- Universität Düsseldorf
- WIAS Berlin
- 13 more »
- « less
-
Field
-
profile Completed university degree (Master’s) in biology, geosciences or related areas Experience in morphology, neuroanatomy, and paleontology of turtles is desired Expertise in the analysis of digital CT
-
workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
-
for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
-
. The department focuses on the production, analysis, and simulation of functionally optimized structures from the nanometer to the micrometer scale in electrochemically active materials, as well as the development
-
investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
-
to climate change. It builds up a national and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change
-
in interdisciplinary networks alike. The BMC of the LMU is located on the Martinsried Campus (one of the best scientific locations in Germany) and offers an ideal research infrastructure. Off campus
-
investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
-
networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
-
. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In