Professionshøjskolen UCN
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Job ad: DTU Tenure Track Researcher in Machine Learning in Fisheries Technology - DTU Aqua
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DTU Tenure Track Researcher in Machine Learning in Fisheries Technology - DTU Aqua
In this role, you will join an internationally recognised multidisciplinary team to develop new technologies and advanced analytics such as deep learning methods for the analysis of images and videos for species identification and automated catch registration to advance fisheries.
The team is developing fish detection and species identification algorithms, with the goal of implementing the software in commercial fisheries. Your role will be to further this development by contributing with a strong background in computer vision, machine learning, quantitative analysis and programming.
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