Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
-
modelling of laser shock peening. Molecular Dynamics (MD) and Finite Element (FE) simulations will be combined to account for the complex physical phenomena and their different scales. The interdependence
-
. The central aim of these projects is efficient computational method for wave propagation on complex geometry. We will use a novel and unconventional finite element method based on the Galerkin difference
-
of this project is the development of new software based automated workflows which will be centred around finite element simulation and allow for accelerated technical innovation. Scenarios to be investigated
-
biomechanical treatments. In particular, you will evaluate the effect of biomechanical or pharmacological interventions on the bone properties by analyzing Computed Tomography images, Finite Element (FE) models
-
. Connections working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs/21265809/post-doctoral-associate-fellow-and-phd-student-opportunities-in-finite-element-crash-analysis
-
by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
-
University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 7 days ago
a deep understanding of state-of-the-art numerical solution methods, including finite elements, finite differences, geometric multigrid methods, and their parallelisation architectures and challenges
-
finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
-
expertise in interdisciplinary mathematical modelling, inverse problems, finite element methods (especially in complex and applied settings), machine learning techniques in scientific and industrial