Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Chalmers University of Technology
- University of Tübingen
- Curtin University
- SciLifeLab
- Linköping University
- Aalborg University
- Nature Careers
- RMIT University
- Technical University of Denmark
- University of Nottingham
- ;
- ; University of Nottingham
- Carnegie Mellon University
- Cranfield University
- Queensland University of Technology
- Swinburne University of Technology
- ; Brunel University London
- ; City St George’s, University of London
- ; Manchester Metropolitan University
- ; University of Warwick
- CWI
- Erasmus University Rotterdam
- Ghent University
- Heidelberg University
- Imperial College London
- Leibniz
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- McGill University
- Mälardalen University
- Norwegian University of Life Sciences (NMBU)
- Saarland University •
- Technical University of Munich
- Umeå University
- University of Adelaide
- University of Bayreuth •
- University of Bremen •
- University of Southern Queensland
- University of Utah
- Vrije Universiteit Brussel
- 31 more »
- « less
-
Field
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
-
, machine learning, electrical engineering, or a related field. The ideal candidate will have some of the following skills such as: Computer vision and machine learning: A solid understanding of image and
-
) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
-
the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide