Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- University of Tübingen
- Fraunhofer-Gesellschaft
- University of Stuttgart •
- EBS Universität für Wirtschaft und Recht •
- Goethe University Frankfurt •
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- RPTU University of Kaiserslautern-Landau •
- Technical University of Darmstadt •
- University of Bamberg •
- University of Bremen •
- University of Göttingen •
- University of Konstanz •
- Universität Düsseldorf
- 8 more »
- « less
-
Field
-
data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
-
Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
-
or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
-
, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will play a central role in this interdisciplinary initiative. They will: Develop and apply machine
-
uptake, a relationship that dates back 450 million years and remains vital for major crops. Yet, these symbioses are not fully optimized for today’s intensive agriculture. This project aims to uncover
-
uptake, a relationship that dates back 450 million years and remains vital for major crops. Yet, these symbioses are not fully optimized for today’s intensive agriculture. This project aims to uncover
-
master's degree in agricultural or environmental economics, applied mathematics, or a related field Good background in bio-economic modelling, CGE modelling, and optimization techniques Experience with
-
-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
-
, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
-
processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Tomography of desorption reactions: positron emission tomography for quantifying