Sort by
Refine Your Search
-
Country
-
Employer
- Nature Careers
- Argonne
- King Abdullah University of Science and Technology
- Technical University of Munich
- University of Groningen
- ; Technical University of Denmark
- Aston University
- Brookhaven Lab
- Carnegie Mellon University
- Chalmers University of Technology
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- SUNY University at Buffalo
- Stanford University
- Sun Yat-Sen University
- Technical University of Denmark
- University of Antwerp
- University of Houston Central Campus
- University of Kansas
- University of Minnesota
- University of Texas Southwestern Medical Center
- Université Grenoble Alpes
- 14 more »
- « less
-
Field
-
University of Texas Southwestern Medical Center | Dallas, Texas | United States | about 19 hours ago
, United States of America [map ] Subject Areas: Inverse Problems; Medical image reconstruction; Radiotherapy plan optimization Appl Deadline: 2025/06/20 11:59PM (posted 2024/06/24) Position Description: Apply Position
-
Deadline: none (posted 2025/05/13) Position Description: Position Description We are pleased to announce exciting postdoctoral opportunities within the Inverse Problems and AI group at Sun Yat-sen
-
of inverse problems and computational imaging. Position The Vision Lab at the University of Antwerp (http://visielab.uantwerpen.be/ ) has an open position for a postdoctoral researcher to strengthen our
-
-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
-
. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
-
Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
-
, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
-
. This role is part of a collaborative research initiative involving academic partners and industry stakeholders. As the successful candidate you will lead efforts in membrane fabrication using phase-inversion
-
contribute to teaching. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development
-
potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus