Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- CNRS
- The Ohio State University
- Virginia Tech
- Leibniz
- Aarhus University
- Argonne
- Chalmers University of Technology
- DURHAM UNIVERSITY
- Duke University
- Forschungszentrum Jülich
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Technical University of Denmark
- Technical University of Munich
- WIAS Berlin
- ;
- Austrian Academy of Sciences, The Human Resource Department
- BRGM
- Baylor College of Medicine
- Case Western Reserve University
- Central China Normal University
- Chinese Academy of Sciences
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Durham University
- Fudan University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Johann Radon Institute for Comp. and Applied Mathematics
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Los Alamos National Laboratory
- Texas A&M University
- UNIVERSITY OF SYDNEY
- Umeå universitet stipendiemodul
- University of Arkansas
- University of Graz
- University of Lund
- University of Maine
- University of Texas at Arlington
- University of Virginia
- Western Norway University of Applied Sciences
- 36 more »
- « less
-
Field
-
mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
-
to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
-
Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
-
optimizing simulation tools such as CalPhad to support experimental findings. Conducting in-depth metallographic analysis and establishing correlations between mechanical properties and microstructural
-
multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
with neuroimaging, numerical mathematics, optimization, inverse problems, software development, motivation and research interests. The location for this research will be the workgroup of Prof. Dr
-
-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
-
neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
-
to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment