Sort by
Refine Your Search
-
Listed
-
Employer
- Leibniz
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- GFZ Helmholtz-Zentrum für Geoforschung
- Academic Europe
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Friedrich Schiller University Jena
- Max Planck Institute for Astronomy, Arua, Uganda
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Radio Astronomy, Bonn
- 3 more »
- « less
-
Field
-
The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
-
technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
-
' prognosis or treatment decisions. For modeling, we use both public and proprietary clinical and research data greatly enriched by our own repository of digital pathology images. A further focus lies on
-
Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
-
of metrology for environmental applications, and monitoring greenhouse gas and pollutant emissions using atmospheric measurements and dispersion models. We are looking to grow our team from June 2022 onwards
-
management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
-
. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology
-
(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
-
of immune cells and in functional assays determining T cell functions - Experience with in vivo experiments in preclinical model systems of viral infection - Excellent writing and communication skills
-
materials science • Extensive knowledge of computer-based modelling and simulation methods in materials science of metals, e. g. Calphad method, precipitation simulation, cellular automata, kinetic Monte