Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Oak Ridge National Laboratory
- California Institute of Technology
- NIST
- Argonne
- Cedars Sinai Medical Center
- Hanyang University
- Harvard University
- Indiana University
- Indiana University Bloomington
- Pennsylvania State University
- The University of Chicago
- University of Maryland, Baltimore
- University of Washington
- Zintellect
- 4 more »
- « less
-
Field
-
geometries, and optimization of surface and volumetric meshes. The fellow will also develop and evaluate multiphysics computational models coupling microwave electromagnetic energy deposition with bioheat
-
, or Mathematics Strong programming skills in Python and R Background in algebraic geometry, computational algebra, and symbolic computation Experience with algorithm development and research Preferred
-
broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute for Scientific Computing and Applied Mathematics, and scientific units across our
-
primary appointment in Mathematics and opportunities to collaborate broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute
-
discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with
-
emphasis on emerging wearable optically pumped magnetometer (OPM) technology. These methods and hardware will improve the spatial resolution, robustness, and computational foundations of MEG source imaging
-
prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
-
discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with
-
discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with
-
discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with