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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a temporary full-time employment for two years with
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within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical
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scientific journals. Supervise master’s and/or PhD students to a certain extent. Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a temporary full-time
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of further development. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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structure and morphology to key device metrics. Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a
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: Ergang Wang, email: ergang@chalmers.se *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position