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 •
- Heraeus Covantics
- 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
-
& 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
-
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
-
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
-
. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures 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
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
-
of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
-
biology, cell biology, biochemistry, and plant-microbe interaction research come together to advance sustainable agriculture and reduce reliance on pesticides and mineral fertilizers. Further information