Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- DAAD
- Heidelberg University
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- ; Max Planck Society
- Fraunhofer-Gesellschaft
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- University of Tübingen
- 5 more »
- « less
-
Field
-
. • Experience with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy). • You are a highly motivated scientist with the drive to develop
-
for the research scholarships by the GHS, independent of nationality or place of work. The funding is granted to candidates wishing to carry out an independent research project alone. Post-doctoral scientists
-
available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for outstanding junior post-doctoral scientists from Germany, Austria and Switzerland from all
-
For the team of the Chair of Energy Systems the following position is available Visiting Scientist for Reversible Solid Oxide Fuel Cells in the Future Laboratory Green Hydrogen (m/f/x) for the next possible date
-
advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
-
medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
-
habits and duration of grazing under contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding
-
contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding of functioning of tropical and subtropical
-
, and high-performance computing. It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators
-
of this include the creation of benchmark data sets for a wide range of application scenarios, as well as educational opportunities for interested scientists and expert workshops. Our aim is the democratization