Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Heidelberg University
- Forschungszentrum Jülich
- Free University of Berlin
- Fraunhofer-Gesellschaft
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- University of Tübingen
- WIAS Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- Technische Universität München
- University of Greifswald
- 13 more »
- « less
-
Field
-
for Molecular Medicine in the Helmholtz Association, founded in 1992, today inspiring and nurturing a diverse talent pool of 1,800 people from over 70 countries. We are 90 percent funded by the German federal
-
Postdoctoral Academy for Research on Education PACE , inclusion in a dynamic team of motivated researchers passionate about education and giftedness. a salary in the pay scale “E13 TV-L”. Depending on your
-
dynamic working environment of an internationally recognized research institution Flexible working hours – mobile working options – assistance with child care and care for family members („audit
-
Interaction and Computational Interaction. • Work in a dynamic, collaborative environment with leading experts. • Have access to state-of-the-art facilities and a stimulating research setting. • Participate in
-
understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and upcoming AI methods to analyze the climate
-
independent work but demands a comprehensive understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and
-
, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
-
dynamics and the economic trade-offs involved. We aim to develop and apply an economic spatial equilibrium model to explore these issues. The model will focus on global land use, with a particular emphasis
-
-implantation deformations of the devices and their influence on blood flow dynamics. Alongside computationally intensive, fully resolved simulations, the project employs porous media surrogate models and their
-
clinicians in a stimulating and supportive research environment with groups for medical image analysis, medical data science, cBio, Radiology, nuclear medicine, molecular pathology, bioinformatics, and more