Sort by
Refine Your Search
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
-
and materials research that could not be addressed so far due to their high complexity, which prevents approaches that solely rely on classical mechanistic modeling or classical machine learning. Equal
-
is funded from 1 November 2025 to 31 October 2028. Who we are: The Independent Research Group Receptor Biochemistry harnesses the complex interplay between proteases and receptors during plant-pathogen
-
to test complex mixtures and identify their risk drivers. The position is allocated to the junior research group and supports research on regulatory concepts for mixture risk assessment. As a long-term goal
-
deep-rooted inequalities. Complexity arises in defining transport equity, as the choice of distributive principle significantly influences its measurement and outcomes. Therefore, it is still challenging
-
using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, and complex nano-structured materials. For more information, visit