Sort by
Refine Your Search
-
Country
-
Employer
- Nanyang Technological University
- Oak Ridge National Laboratory
- California Institute of Technology
- NIST
- Monash University
- AMOLF
- Cedars Sinai Medical Center
- China National Center for Bioinformation
- Georgia Institute of Technology
- INSA LYON
- Indiana University
- Indiana University Bloomington
- Institute of Geophysics Polish Academy of Sciences
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Politecnico di Milano
- ShanghaiTech University
- Technical University Darmstadt
- The University of Chicago
- University of Oxford
- University of Salzburg
- University of Washington
- Zintellect
- 12 more »
- « less
-
Field
-
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
-
14 Jul 2026 Job Information Organisation/Company INSA LYON Research Field Mathematics Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
-
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
-
10 Jul 2026 Job Information Organisation/Company Politecnico di Milano Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher
-
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
-
new quantum algorithmic solutions based on Riemannian geometry. With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a
-
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
-
Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
and experience Experience with 3D parametric body models (i.e. SMPL/MANO/ATLAS/VAREN/etc.) Experience in Computational Geometry, Computer Vision and Deep Learning Accepted publications in one