Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- University of Oxford
- Ghent University
- Oak Ridge National Laboratory
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- University College Dublin
- Argonne
- Delft University of Technology (TU Delft)
- International Iberian Nanotechnology Laboratory (INL)
- KTH Royal Institute of Technology
- KU LEUVEN
- National Aeronautics and Space Administration (NASA)
- The Cyprus Institute
- The Ohio State University
- The University of Arizona
- University of North Texas at Dallas
- University of Oxford;
- University of Utah
- Université de montpellier
- Virginia Tech
- 12 more »
- « less
-
Field
-
(or be near completion), with established expertise in Computational Mechanics, Constitutive Modelling, and the Finite Element Method. Informal enquiries may be addressed to Prof. Laurence Brassart
-
the Philip Leverhulme Prize. We are looking for a researcher interested in running coupled chemo-mechanical finite element simulations to address mechanical challenges that are holding back
-
engineering simulation tools, such as optical ray-tracing software, finite-element analysis (FEA), CFD solvers, or thermal/structural analysis tools. Strong ability to work with integrated optical–mechanical
-
advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
-
the Philip Leverhulme Prize. We are looking for a researcher interested in running coupled chemo-mechanical finite element simulations to address mechanical challenges that are holding back
-
the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
-
of experimental data - Molecular Dynamics and Finite Element calculations. . Metallic nanoparticles (NPs) exhibit unique physico-chemical properties departing from those of bulk materials, primarily due
-
of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
-
health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
-
Predictive simulation will be developed using finite element analysis (FEA) between LMGC, ICube and LEM3. Experience in poro-mechanical simulation is therefore an asset (Le Floc'h, et al., 2024). In addition