Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- DAAD
- Free University of Berlin
- Hannover Medical School •
- University of Göttingen •
- Freie Universität Berlin •
- Helmholtz-Zentrum Geesthacht
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute •
- Leipzig University •
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Mathematics •
- Max Planck Institute for Solid State Research •
- Max Planck Institute of Biochemistry •
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Darmstadt
- University of Bonn •
- University of Tübingen
- WIAS Berlin
- 15 more »
- « less
-
Field
-
international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is also supervised by Prof. Dr
-
verbal communication skills. • Experience in teaching relevant subjects to university students. • Able to communicate complex and conceptual ideas to a range of groups. • Able to balance the pressures
-
in the challenges of the energy transition and its economic consequences You have a quick grasp and the ability to analyze and creatively implement complex issues You are proficient in the use
-
and qualitative modelling approaches for complex social-ecological systems (SES) of tropical coastal zones in Peru, Colombia and Indonesia; Scenario development and Horizon Scanning – to systematically
-
programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
-
student (m/f/d) to conduct research on a DFG-funded project focused on trace fossils, and the evolution of behavioral complexity over the Ediacaran-Cambrian boundary. This project will combine detailed
-
networks involved in CHC perception, particularly in the context of prezygotic reproductive isolation within a species complex of parasitoid wasps (Nasonia). Our previous research has already deciphered
-
on Earth is a laboratory that has operated for billions of years, producing remarkably diverse, complex, and robust biological systems; however, significant challenges persist in understanding
-
Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
-
and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific