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Field
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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: Must have submitted thesis through an EPSRC funded PhD programme between 1 January 2024 and 1 October 2025 EPSRC Alignment: Research must be predominantly within EPSRC's remit Supervisor Commitment: Must
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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2nd November 2025 Languages English English English The Faculty of Health and Social Sciences (HS) has a vacancy for a 100% position as PhD Research Fellow in Ecology of Vision Apply for this job
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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) Positions PhD Positions Country Norway Application Deadline 1 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research
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of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position
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2025 - 00:00 (UTC) Type of Contract Other 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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of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level