Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Nature Careers
- Humboldt-Stiftung Foundation
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- Hannover Medical School •
- RWTH Aachen University
- University of Potsdam •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Biomedical Center, LMU Munich
- Freie Universität Berlin •
- GFZ Helmholtz-Zentrum für Geoforschung
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Technische Universität Berlin •
- Ulm University •
- University of Bremen •
- University of Göttingen •
- University of Stuttgart •
- WIAS Berlin
- 11 more »
- « less
-
Field
-
(preclinical mouse models) is required Very good knowledge of English, German is an asset (helpful for teaching) Organizational and team skills, flexibility, curiosity, responsible work ethics and a passion for
-
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
-
measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
-
theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
-
and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
-
available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
-
phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
-
mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in