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Number of Positions: 1 Eligibility: UK Only Funding: School of Computer Science Scholarship, in support of the EPSRC Grant: Mixed precision in Krylov Methods, providing the award of full academic
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project
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27.10.2025, Wissenschaftliches Personal Are you passionate about generative AI and digital twins for intelligent mobility systems? Do you see potential in using large language models, vision
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EU programme Reference Number DNAI – Digital Narratives and Artificial Intelligence Is the Job related to staff position within a Research Infrastructure? No Offer Description Errata to the notice
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implementation of research projects financed from national and international sources (e.g. NCN, Horizon Europe, ESA). Specific Requirements Research experience in computer science, artificial intelligence, machine
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developments in artificial intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies
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17 Oct 2025 Job Information Organisation/Company Universitat Politècnica de València Research Field Computer science Engineering Technology Researcher Profile First Stage Researcher (R1) Positions