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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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information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral degree in
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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Email: Postal Mail: registrator@ltu.se Web Page: https://www.ltu.se/en
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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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around 200 dedicated staff, including 65 PhD students . We are a joint department between Chalmers University of Technology and the University of Gothenburg, combining the best of two academic worlds in
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Management Lab (KDMLAB) of the Department of Computer and Information Science at Linköping University. The department is one of the largest computer science departments in northern Europe, with research
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position on transthyretin amyloid formation using X-rays, neutrons and electron microscopy
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position within a Research Infrastructure? No Offer Description Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate
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, where PhD students and postdocs work alongside senior scientists to shape the future of photonics. Our research is both experimental and theoretical and we have extensive international collaboration. We