Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Sheffield
- NIST
- ;
- ETH Zurich
- Fraunhofer-Gesellschaft
- Oak Ridge National Laboratory
- Duke University
- Empa
- Pennsylvania State University
- TTI
- University of Bristol
- University of British Columbia
- University of Glasgow
- University of New South Wales
- University of Toronto
- University of Vienna
- ; University of Leeds
- American University in Cairo
- CEA
- CSIRO
- California Institute of Technology
- Carnegie Mellon University
- Idaho State University
- Institut Pasteur
- King Abdullah University of Science and Technology
- Linnaeus University
- Loughborough University
- McGill University
- Nanyang Technological University
- Princeton University
- Technical University of Munich
- The Ohio State University
- UNIVERSITY OF VIENNA
- Umeå University
- University of Bath
- University of Dayton
- University of Miami
- University of Texas at Arlington
- University of Texas at Austin
- 29 more »
- « less
-
Field
-
of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
-
microstructure to achieve desired mechanical properties and stress states. The use of finite element based software (e.g. ABAQUS, DEFORM, QForm or similar) for process simulation (e.g. forging, heat treatments
-
software, and applying computational methods and analysis tools, including finite element analysis (FEA), to optimise designs. Providing leadership and supervision to engineering staff, ensuring research
-
. Analyse, categorise and document collected seismological, geological, tectonic and built environment data and model and map the data in GIS environment. Develop high-fidelity Finite Element (FE) models of
-
, press/shrink fits, reliability and uncertainty analysis, failure theories, fatigue, and fracture mechanics. Computational methods of analysis, such as finite elements analysis are covered as well
-
at least one or more of the fields of medical image processing, computer graphics, continuum mechanics, the finite element method, machine learning, AI and Data Science. Additional skills in games engines
-
tissue, ion channels, and gene/protein expression; analyzes cardiac cell and tissue super-resolution and electron microscopy imaging data; uses finite-element method software to investigate cardiac tissue
-
, you will develop a finite-dimensional state observer incorporating piezoelectric sensors. This will involve applying modal decomposition and H-infinity filter design methods to create an effective
-
designing for the complete product life-cycle. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer-Aided Design (CAD), and Manufacturing (CAM) are introduced in
-
Engineering or a comparable subject Good programming skills e.g. in Python or Fortran are advantageous Initial experience in FEM (Finite Element Method) simulation tools e.g. ABAQUS or ANSYS Good analytical