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13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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) Positions PhD Positions Application Deadline 1 May 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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) 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 related to staff position within a
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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks The main
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. Qualifications and Expectations Applicants must hold (or be close to completing) a Master’s degree in biomedical engineering, mechanical engineering, robotics, computer vision, applied mathematics, or a related
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Research Framework Programme? Not funded by a EU programme Reference Number 2023.17511.ICDT Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE OF THE OPENING
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of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest