Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Carnegie Mellon University
- Aalborg University
- Oak Ridge National Laboratory
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Northeastern University
- Technical University of Munich
- AALTO UNIVERSITY
- Argonne
- CNRS
- CNRS-LMA
- DURHAM UNIVERSITY
- Durham University
- Durham University;
- Harvard University
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Michigan State University
- National Aeronautics and Space Administration (NASA)
- National Energy Technology Laboratory (NETL)
- Singapore-MIT Alliance for Research and Technology
- Tampere University
- Texas A&M University
- The University of Western Australia
- UNIVERSITY OF VIENNA
- University of Borås
- University of Miami
- University of Minnesota
- University of Oxford
- University of Oxford;
- Université de Limoges
- 23 more »
- « less
-
Field
-
with analytical modeling, reduced-order models, numerical simulation, finite element methods, optimization, or statistical-mechanics-based approaches. Proficiency in one or more programming languages or
-
., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
-
(photolithography, metal evaporation, etching) Experience with packaging schemes such as flip-chip bonding, anisotropic conductive film bonding and wire bonding Finite element Method (FEM) simulations (MEMS, Electro
-
by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
-
position in AI and machine learning, with a focus on patient-specific reconstruction of coronary vessels and the simulation of stenting techniques using Finite Element Analysis (FEA) and Computational Fluid
-
, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision approaches is optional but extremely useful. We