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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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Deadline 15 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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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. Qualification requirements To be eligible for the postdoctoral appointment, applicants are required to hold a PhD in computer science or a related subject or have equivalent qualifications from abroad. The PhD
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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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Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods with provable performance for nonlinear systems. About us The Department of Mathematical Science provides a
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for the development of the Ambient Pressure X-ray Photoelectron Spectroscopy Program at MAX IV. The beamlines provide a wide range of sample environments for in situ and operando XPS and XAS across four instruments and
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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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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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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an