Sort by
Refine Your Search
-
Listed
-
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 •
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- 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 •
- 20 more »
- « less
-
Field
-
waves. Understanding energy and scalar fluxes across the air-sea interface is crucial for a number of environmental challenges, including weather, climate and sea state forecasting. The Air-Sea Fluxes
-
tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support
-
research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or
-
significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
-
the change! We offer ideal conditions for you to complete your doctoral degree: Competent and interdisciplinary working environment, as well as an excellent framework in the areas of experiments and modelling
-
The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
-
Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
-
batteries at the molecular level. Novel spectroscopic approaches are developed and applied to the characterization of materials under working conditions (operando/transient approach). Relationships between
-
features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and characterizing defects such as dislocations Applying generative models (e.g., GANs
-
and scalar fluxes across the air-sea interface is crucial for a number of environmental challenges, including weather, climate and sea state forecasting. The Air-Sea Fluxes group at the Institute