Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Leibniz
- Technical University of Munich
- Nature Careers
- Humboldt-Stiftung Foundation
- RWTH Aachen University
- GFZ Helmholtz Centre for Geosciences
- Max Planck Institute for Demographic Research (MPIDR)
- University of Göttingen •
- University of Münster •
- University of Potsdam •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Biomedical Center, LMU Munich
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- International PhD Programme (IPP) Mainz
- Justus Liebig University
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- MPINB
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Plant Breeding Research •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universitaet Darmstadt
- Technische Universität München
- University of Cologne •
- University of Stuttgart •
- University of Tübingen
- 25 more »
- « less
-
Field
-
the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research Foundation (DFG), at the University
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
to investigate mechanical properties under application-relevant conditions Microstructural characterization using advanced optical and electron microscopy techniques Analysis and correlation of mechanical behavior
-
. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
-
amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system. Furthermore, we use the olfactory network as a model
-
learning (ML) methods—including surrogate modelling, feature extraction, and inverse design algorithms Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor
-
. Furthermore, we use the olfactory network as a model to study the dynamics of neuronal development, synaptogenesis, neuronal degeneration, and regeneration. Our research is complemented by behavioral studies
-
such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
-
Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 21 days ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using
-
Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
for Demographic Research (MPIDR), in Germany, subject to MPIDR terms and conditions. The role is based within the Mortality and Inequalities Research Group at LSHTM with close partnership with the Department