Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- NIST
- ;
- Hong Kong Polytechnic University
- Oak Ridge National Laboratory
- Nature Careers
- CNRS
- ETH Zurich
- Empa
- Harvard University
- KU LEUVEN
- NEW YORK UNIVERSITY ABU DHABI
- Northeastern University
- Ryerson University
- Technical University of Munich
- Texas A&M University
- University of Antwerp
- University of Oxford
- University of Sheffield
- AALTO UNIVERSITY
- Aarhus University
- Argonne
- CEA
- Carnegie Mellon University
- Central Michigan University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Georgia Southern University
- Ghent University
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Los Alamos National Laboratory
- Macquarie University
- Manchester Metropolitan University
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- National Aeronautics and Space Administration (NASA)
- Technical University of Denmark
- The University of Queensland
- Umeå universitet stipendiemodul
- University of Alaska
- University of Bath
- University of Miami
- University of Minnesota
- University of Minnesota Twin Cities
- University of New South Wales
- University of North Texas at Dallas
- University of Texas at El Paso
- Université de Technologie de Belfort-Montbéliard
- Wayne State University
- 39 more »
- « less
-
Field
-
conventional simulators. Finite element-based methods such as Mixed-Finite-Element or Control-Volume methods are convenient thanks to their suitability for complex unstructured grids. Applications are sought
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
simulation (such as bonded particle) and Eulerian (such as finite element) methods can be used. Proposals should acknowledge the benefits and limits of their technique compared to others. Part of the proposal
-
to the refinement and application of inverse finite element (FE) modeling for multiscale mechanical characterization of cartilage. Integrate in vitro, in silico, and in vivo data into a coherent, multi-scale
-
; - Characterizing blister dimensions using AFM and SEM, as well as the strain transferred to 2D materials using spectroscopy (Raman); - Implementing analytical and numerical (finite-element) approaches to analyze
-
Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
-
finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
-
expertise in finite element simulation and poro-elastic media modeling. Skills in identification, biomechanics, and homogenization are a plus. Website for additional job details https://emploi.cnrs.fr/Offres
-
by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
-
deformation microscopy, high-field MRI, clinical MRI, PET-MRI, and molecular read-outs. •Applying inverse finite element modeling (FE modeling) for the multiscale mechanical characterization of cartilage
-
finite element simulations and high-temperature coatings. Applicants are invited to contact Prof. Ruan Haihui at telephone number 2766 6648 or via email at hhruan@polyu.edu.hk for further information