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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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systematically identify risk factors for psychiatric ill health in autistic people, using exposeome-wide methods. You will be involved in all aspects of the research process, including study design, data
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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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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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interdisciplinary research environment More information about Jönköping University as a workplace, conditions and benefits on www.ju.se . Required Qualifications Applicants must have been awarded a PhD in Computer
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of computer vision models is comfortable working in multidisciplinary research environments, where methods are applied to biological or real-world problems Qualifications The applicant must: hold a PhD in a
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18 Jan 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Chemistry Engineering Computer
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with early career researchers across disciplines (recruitment, scheduling, participant communication, and fieldwork coordination). Collect and manage multimodal process data on writing-for-publication
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your fit to Con-TEki and preferred emphasis (wet-lab vs computational; research interests) Names and contact details of 2–3 referees Evidence of PhD award (or expected award date) Selection process
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process data on writing-for-publication, including keystroke logging, screen capture, interviews/stimulated recall, and text drafts. Conduct micro-ethnographic and qualitative analyses of writing regulation