Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- University of Potsdam •
- Brandenburg University of Technology Cottbus-Senftenberg •
- Freie Universität Berlin •
- Fraunhofer-Gesellschaft
- Leibniz
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Medical School Berlin
- Saarland University
- Saarland University •
- University Hospital Würzburg
- University of Bonn •
- University of Bremen •
- University of Göttingen •
- University of Hamburg •
- University of Konstanz •
- University of Münster •
- University of Saarland
- 10 more »
- « less
-
Field
-
embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
-
Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics
-
) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
-
science or historical methods. Research at the BGTS focuses on the structures, risks, and opportunities of cross-regional interaction at various levels. Research areas include the causes and consequences
-
Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 3 hours ago
that enables them to work on an innovative research topic and to develop and apply the scientific methods appropriate to their research topic. Course organisation During the three-year programme, doctoral
-
Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
-
Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
-
have the knowledge and abilities necessary for such endeavours as well as being theoretically and methodically competent in relation to the subjects at hand. Language requirements Candidates must be
-
-scale maser devices, based on integrated circuits Perform experiments using steady-state microwave spectroscopy, as well as time-resolved spectroscopy methods Design and development of new experimental
-
collaboration, regular interactions, a research methods curriculum, and extracurricular activities. Members of the research school perform research and teaching in all data-driven fields. Course organisation