Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- DAAD
- Technical University of Munich
- Helmholtz-Zentrum Geesthacht
- Leibniz
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Molecular Genetics •
- Technische Universität München
- University of Tübingen
- 1 more »
- « less
-
Field
-
innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
-
highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
-
: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
-
. However, the impacts of measures aimed at improving air quality are difficult to predict. One reason for this is that ozone formation depends on the concentration of precursor substances such as nitrogen
-
industry and academia, including experts on system services, converter control, flow propagation and lidar-based predictions. Among others, your tasks will comprise: Development of control algorithms
-
though dryland soils have low organic carbon (OC) concentrations, they store a significant fraction of global soil OC stocks. However, predicting effects of increasing aridity on soil OC stocks is not yet
-
and used to predict the development of damage. Based on this, a new maintenance strategy is to be developed that is based on the physical relationships and thus enables better consideration of critical
-
school is on the use of biological and computational methods to explain and predict phenomena in life sciences. This includes aspects of gene regulation and epigenetics, RNA biology, signal transduction
-
predictions. As a result, systems-oriented biological research is inherently an interdisciplinary undertaking, involving biochemistry/structural biology, molecular and organismal genetics, biophysics
-
prediction technologies, and handheld devices, present novel opportunities for African livestock farmers to adapt to climate change and improve environmental performance. The aim of this research is to