Sort by
Refine Your Search
- 
                Listed
 - 
                Category
 - 
                Employer
- DAAD
 - Forschungszentrum Jülich
 - Biomedical Center, LMU Munich
 - Leibniz
 - Technical University of Munich
 - University of Potsdam •
 - Brandenburg University of Technology Cottbus-Senftenberg •
 - Freie Universität Berlin •
 - Nature Careers
 - University of Bremen •
 - Fraunhofer Institute for Wind Energy Systems IWES
 - Fraunhofer-Gesellschaft
 - Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
 - Julius-Maximilians-Universität Würzburg •
 - Justus Liebig University Giessen •
 - Max Planck Institute for Gravitational Physics, Potsdam-Golm
 - Max Planck Institute for Human Cognitive and Brain Sciences •
 - Max Planck Institute of Biochemistry •
 - Saarland University •
 - University of Bonn •
 - University of Göttingen •
 - University of Konstanz •
 - University of Münster •
 - University of Stuttgart •
 - Universität Hamburg •
 - WIAS Berlin
 - 16 more »
 - « less
 
 - 
                Field
 
- 
                
                
                
- Teaching courses and supervising of student theses YOUR PROFILE - University master's degree in geophysics or physics, above-average, with ideally good knowledge of seismic methods and numerical simulations
 - 
                
                
                
quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
 - 
                
                
                
the resilience of drinking water supplies in the affected region for the future, based on laboratory analyses, field investigations and numerical modelling. Tasks: We are looking for a highly motivated researcher
 - 
                
                Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 6 hours ago
, gravitational self-force, black-hole perturbation theory, and effective-one-body theory), numerical-relativity, most notably simulations of compact objects in general relativity and alternatives, interpretation
 - 
                
                
                
profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
 - 
                
                
                
challenges facing modern societies. Specifically, the tasks are: Identify state‑of‑the‑art machine‑learning (ML) methods that can be applied to geochemical systems in geological contexts Assess these methods
 - 
                
Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the formation of two- and three-dimensional DNA structures which
 - 
                
                
                
simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
 - 
                
                
                
developing methods to transfer ion-induced damage results to neutron-induced damage scenarios and accelerating material development cycles. The findings provide not only a scientifically sound assessment of
 - 
                
                
                
Completed university studies (Master) in Chemistry or related field Experience in metal-organic syntheses Experience in working with glove boxes and Schlenk methods Experience in X-ray diffraction techniques