Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- Nature Careers
- Technical University of Denmark
- University of Oxford
- Ghent University
- Northeastern University
- Carnegie Mellon University
- Chalmers University of Technology
- Empa
- University College Dublin
- Argonne
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- CNRS-ENS-UCBL
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Free University of Berlin
- Harvard University
- Heriot Watt University
- International Iberian Nanotechnology Laboratory (INL)
- KTH Royal Institute of Technology
- KU LEUVEN
- National Aeronautics and Space Administration (NASA)
- Technical University of Munich
- The Ohio State University
- The University of Arizona
- Umeå universitet stipendiemodul
- Universitat Pompeu Fabra - Department / School of Engineering
- Universite de Montpellier
- University of Bristol
- University of Miami
- University of Minnesota
- University of North Texas at Dallas
- University of Oxford;
- University of Texas at El Paso
- Université Savoie Mont Blanc
- Université de Caen Normandie
- Université de montpellier
- 29 more »
- « less
-
Field
-
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 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
-
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
-
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
-
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
-
developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
-
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
-
computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
-
material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
-
Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the 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