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PhD scholarship in AI and Computer Vision for Automated Fisheries Monitoring - DTU Aqua
We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification of species from Electronic Monitoring (EM) systems onboard commercial fishing vessels.
The successful candidate will contribute to cutting-edge research in automated fisheries monitoring, supporting sustainable fisheries management and compliance efforts.
Associate Professor in statistical and complex trait genetics
At the Faculty of Medicine, Department of Health Science and Technology, one position as Associate Professor in statistival and complex trait...
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