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and Welfare (EUPHAW) and focuses on the development of methods to quantify and analyze behavior and welfare in dairy cattle using large-scale video and sensor data collected in barn environments
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of the European Partnership on Animal Health and Welfare (EUPHAW) and focuses on the development of methods to quantify and analyze behavior and welfare in dairy cattle using large-scale video and
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peer-reviewed publications. You will generate and structure your own code as well as use existing frameworks. Project data include biomarkers, patient-reported data, clinician-reported data, and data
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infographics, videos and farmer-oriented reports Your profile We seek a candidate who is passionate about improving farm animal welfare through rigorous science and collaborative innovation. Eligibility
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to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog population – including personality types in
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at the Division covers turbulent flow (both compressible and incompressible), multiphase flows, aero-acoustics and turbomachines. Our tools include both computations and experiments. The research covers a wide
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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sent to the AMBER management. amber@linxs.se . The template can be downloaded from the "For applicants" page here: https://www.ambercofund.eu/for-applicants x) A pre-recorded video presentation
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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research. About the research project This research project develops high-efficiency