Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Northeastern University
- University of Bergen
- University of British Columbia
- Harvard University
- Imperial College London
- University of Michigan
- Genentech
- National University of Singapore
- Nature Careers
- ;
- AbbVie
- King Abdullah University of Science and Technology
- Ryerson University
- SciLifeLab
- University of Michigan - Ann Arbor
- Australian National University
- Boston College
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- George Mason University
- Georgetown University
- Humboldt-Stiftung Foundation
- KEK
- KINGS COLLEGE LONDON
- King's College London
- Monash University
- RMIT University
- Simons Foundation/Flatiron Institute
- Singapore Institute of Technology
- University of Adelaide
- University of Cincinnati
- University of Massachusetts
- University of Nottingham
- University of Saskatchewan
- University of South-Eastern Norway
- University of Stirling
- University of Tasmania
- University of Texas at Austin
- University of Waterloo
- 31 more »
- « less
-
Field
-
in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
-
, 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
-
, 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
-
, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
-
of machine learning, simulation-driven testing, and iterative calibration based on real-world datasets. Contribute to scholarly publications, technical documentation, and progress reports required by funding
-
areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
-
tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
-
, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
-
environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
-
) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena