Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- RWTH Aachen University
- Technical University of Munich
- University of Göttingen •
- GFZ Helmholtz Centre for Geosciences
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- Friedrich Schiller University Jena •
- Helmholtz-Zentrum Geesthacht
- Leipzig University •
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Structure and Dynamics of Matter •
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Berlin •
- University of Cologne •
- University of Stuttgart •
- WIAS Berlin
- 15 more »
- « less
-
Field
-
, biophysical and bio-chemistry, theoretical chemistry and mathematics , to advance the understanding of the emergence of complexity in molecular systems. Our RTG combines science and research projects that start
-
the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
-
Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
-
, your work will contribute to establishing a fundamental understanding of the mechanical properties and microstructure of newly developed advanced ceramic materials for solid oxide electrolyzer cells
-
plasma p24 levels in ultra-low concentrations. This project will combine advanced immunological assays (e.g., flow cytometry, AIM assay, cytokine profiling), viral outgrowth assays, HIV integration site
-
& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
-
& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
-
the diversity of aspartic proteases from the model plant Arabidopsis thaliana and deploy chemical synthesis, advanced modelling, protease biochemistry, mass spectrometry and structural analysis methods. A
-
these determinants, we will harness the diversity of aspartic proteases from the model plant Arabidopsis thaliana and deploy chemical synthesis, advanced modelling, protease biochemistry, mass spectrometry and
-
to model and analyse the intrinsic complexities of these systems. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains