Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Oak Ridge National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Carnegie Mellon University
- University of Oxford
- Northeastern University
- Technical University of Munich
- Argonne
- Delft University of Technology (TU Delft)
- Ghent University
- Heriot Watt University
- International Iberian Nanotechnology Laboratory (INL)
- Itä-Suomen yliopisto
- KTH Royal Institute of Technology
- KU LEUVEN
- Massachusetts Institute of Technology
- National Aeronautics and Space Administration (NASA)
- SUNY Polytechnic Institute
- Technical University of Denmark
- The University of Arizona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat Pompeu Fabra - Department / School of Engineering
- University of Bristol
- University of Minnesota
- University of North Texas at Dallas
- University of Oxford;
- Université de Caen Normandie
- Université de montpellier
- Virginia Tech
- 19 more »
- « less
-
Field
-
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
-
systems. Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge
-
for future hydrogen storage tanks. This postdoc vacancy is focused on the finite element modelling and design of the pressurized composite tank, in different operational conditions (static burst, fatigue and
-
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
-
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
-
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
-
. Knowledge and experience in modelling techniques in Mesoscale and Multiphysics finite element modelling Good communicative skills, teamwork competence and collaborative abilities, as well as capability
-
; - 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
-
their contribution to sea level rise using finite element models such as the Ice-sheet and Sea-level System Model (ISSM), field observations, and various remote sensing products. The division of Geodesy
-
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