Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Northeastern University
- UNIVERSITY OF SURREY
- University of Adelaide
- University of British Columbia
- Curtin University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Cincinnati
- University of Michigan
- ;
- ; University of Oxford
- Aalborg University
- AbbVie
- Carnegie Mellon University
- Central Michigan University
- George Mason University
- James Madison University
- La Trobe University
- National Renewable Energy Laboratory NREL
- Singapore Institute of Technology
- Stanford University
- The University of Queensland
- UNIVERSITY OF ADELAIDE
- UiT The Arctic University of Norway
- University of Birmingham
- University of Inland Norway
- University of Kansas Medical Center
- University of North Carolina at Chapel Hill
- University of Sheffield
- University of Surrey
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 25 more »
- « less
-
Field
-
, 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
-
of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
-
of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
-
of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
-
learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
-
novel research methodologies in computer vision, deep learning architectures, and neuro-fuzzy systems to contribute to the development of robust AI frameworks for medical diagnosis and treatment support
-
and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
-
commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
-
actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including