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Research fellow in Computer Vision (geometry), Linköping University
Publicerat 2019-05-15
We are looking for a research fellow (biträdande universitetslektor) in computer vision. The purpose of the employment as a research fellow is to give the teacher the opportunity to develop independence as a researcher and to obtain both the scientific and teaching qualifications required for employment as senior lecturer.
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11236&rmlang=UK
Postdoc in deep learning for improved Pathology diagnostics, Linköping University
Publicerat 2019-02-27
We are looking for a postdoc to do deep learning research on pathology images to create diagnostic decision support innovations. This position is a key part a new research line in computational pathology at CMIV, a collaboration with the Linköping University Hospital pathology department and the computational pathology research group of Radboud University Medical Center in Nijmegen, The Netherlands. You will work in close collaboration with clinicians, having access to the state-of-the-art infrastructure of CMIV and extensive deep learning expertise of the Nijmegen group.
https://univrses.com/career/
Senior algorithm developer at Tobii
Publicerat 2018-09-05
The algorithms in our eye tracking products consists of a complex combination of computer vision, signal processing and machine learning methods. We are looking for an experienced and driven algorithm developer to join our mission and tackle the challenge of bringing high quality eye tracking to mass market.
https://careers.tobii.com/jobs/96981-senior-algorithm-developer-tobii-tech
Computer Vision and Deep Learning positions at SICK Linköping
Publicerat 2018-02-12
SICK is one of the largest manufacturers of sensors for automation and autonomous systems. At SICK Linköping we focus on the area ‘Machine Vision’ with development of software and algorithms for embedded cameras and 3D-imaging sensors. We are doing well and now we are seeking reinforcement in the areas of Deep Learning and Machine Vision algorithms. Our algorithm team consists of both junior and senior experts with research background. We do fundamental development in close collaboration with universities and integrated implementations on our embedded systems. Keywords include image processing, machine learning, object recognition, 3D-reconstruction, robotics, structure-from-motion, stereo, time-of-flight, FPGA, GPU, SLAM, camera calibration, sensor fusion and tracking. To learn more about the positions and how to apply, see the following link:
Computer Vision and Deep Learning developers