Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Aarhus University
- Technical University of Munich
- Jönköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- University College Cork
- University of Luxembourg
- University of Oslo
- Villanova University
- Adam Mickiewicz University, Poznań
- Argonne
- Duke University
- Eindhoven University of Technology (TU/e)
- Empa
- Fraunhofer-Gesellschaft
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Institut Pasteur
- MASARYK UNIVERSITY
- Medical College of Wisconsin
- Northeastern University
- Purdue University
- THE UNIVERSITY OF HONG KONG
- The University of Memphis
- UNIVERSITY OF HELSINKI
- University of Dayton
- University of Delaware
- University of Maryland
- University of New Hampshire
- University of Oxford
- Université Grenoble Alpes
- Utrecht University
- 23 more »
- « less
-
Field
-
of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C++, or demonstrated ability to rapidly acquire fluent knowledge of new programming
-
) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
-
-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
-
for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models
-
with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
-
understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
-
strategies for conventional HVAC systems that condition entire indoor spaces using existing thermal comfort models, which could improve the performance of existing buildings and HVAC systems. The work will
-
disease, with a strong focus on fibrosis and inflammation. Over the years, we have developed an advanced translational toolkit, including human precision-cut tissue slices, a unique organotypic model
-
through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral
-
. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed