Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- Harvard University
- Curtin University
- University of Bergen
- University of Birmingham
- ;
- Central Michigan University
- LINGNAN UNIVERSITY
- Monash University
- Singapore University of Technology & Design
- The University of Southampton
- University of Manchester
- University of Nottingham
- Western Norway University of Applied Sciences
- 4 more »
- « less
-
Field
-
Position Description The successful candidate will work on using satellite observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses
-
Position Description The successful candidate will work on using satellite observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses. They will also have the opportunity to work on other problems related to global
-
Fellow - Frontier of AI driven Inverse Design of Functional Materials School of Interdisciplinary Studies (Post Ref.: 25/176) Professor Xi Chen, Dean of the School of Interdisciplinary Studies and Chair
-
Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
-
Job Description Position Details School of Engineering Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with
-
Research Fellow in Electromagnetic Field Mapping via Scanning Transmission Electron Microscopy Job No.: 682389 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term
-
, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
-
one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and