Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Engineering or a closely related discipline. You will have demonstrable experience in one or more of the following areas: Finite Element Analysis, Computational Fluid Dynamics, Discrete Element Method, Multi
-
(including, but not limited to, phylogenetic analysis, morphometrics, or finite elements modelling) are expected. Extensive participation and / or experience in leading fieldwork is expected. The successful
-
include the development of finite elements methods, as well as inverse design strategies based on deep-learning and Neural Networks approaches. The latter will then bring the project to the experimental
-
tasked with developing and implementing new efficient numerical methods for high-frequency wave propagation problems in the finite element open-source software FreeFEM developed at Laboratoire Jacques
-
the University, will provide meaningful support for your teaching and scholarship as elements of your personal and career development. We encourage you to grow professionally, and we support a healthy work-life
-
the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations
-
research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
-
laws, meshing, finite element process simulation (static and dynamic analysis), parametric analysis, and experimental verification. CHARACTERIZATION AND TESTING : Mechanical testing (tension, bending
-
sizing. Familiarity with practical finite element analysis using ANSYS Workbench or Comsol, and pipe stress analysis programs such as CAESAR-II, CAEPIPE, AUTOPIPE, WINPIPE, ROHR2. Experience creating and
-
Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
to develop a digital twin of the process. The approach is to couple phenomenological models obtained by AI processing of experimental data with Finite Element Models (model reduction by AI) and Cellular