Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Nature Careers
- Technical University of Munich
- Humboldt-Stiftung Foundation
- Forschungszentrum Jülich
- Hannover Medical School •
- Leibniz
- University of Bremen •
- ; Saarland University
- Fraunhofer-Gesellschaft
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Ulm University •
- University of Göttingen •
- University of Potsdam •
- University of Stuttgart •
- WIAS Berlin
- 6 more »
- « less
-
Field
-
, 2025 The Institute of Coastal Ocean Dynamics at the Helmholtz-Zentrum Hereon is investigating the observation and quantification of ocean mixing, and its representation in ocean models. We therefore
-
well as sustainability. Its study model with Leuphana College, the Leuphana Graduate School and the Leuphana Professional School has won numerous awards. For the Institute of Management, Accounting & Finance (IMAF
-
knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
-
Specifications. The PhD topic consists of two parts, the weighting of which can be adjusted. First, natural frequencies of different UAV categories for different power settings shall be modelled. Second, based
-
frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban
-
institution. The “Friedrich List" Faculty of Transport and Traffic Sciences comprises more than 20 Chairs with numerous scientists and research projects on all modes of transport and mobility needs
-
patterns, such as those observed in turbine wakes. The ultimate goal is to apply this enhanced model to generate numerical wind fields that will serve as inputs for the digital twin of a megastructure
-
:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
-
cell development and function, and compare the (epi)genetic profiles characteristic of individual genetic defects. These studies will be complemented by modeling disease mechanisms in suitable cell lines
-
for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks