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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 4 hours ago
(Selection Criteria) PhD (or soon completed a PhD) in mathematics, computer science, or related areas. Research experience in, related to, or applications of category theory. Why Join Us? Macquarie is a
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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research fellow linked to the PhD programme in Humanities and the Arts . Please note: The call does not include PhD education within artistic research. Applicants who already has a PhD will not be assessed
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the postdoctoral program and together with you we will prepare a career plan, which contains the skills and knowledge you will acquire Mentor programme as a new employee at NTNU Favorable terms in the Norwegian
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for admission to the IV faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Marine Cybernetics, Control Engineering
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Description The California Institute of Technology (Caltech) solicits applications for the Prize Fellowship program of the Walter Burke Institute for Theoretical Physics and the newly founded
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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7 Sep 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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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical