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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping
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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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to 2030 tying together our mission, vision and values. Available documents Within the School of Computer Science at the University of Bristol (UoB), the Cryptography research group fosters
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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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
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and wildlife
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relevant social science field Training or professional experience in education policy, program evaluation, school improvement, K-12 education systems, or a related area Experience with qualitative or mixed
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5 Sep 2026 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Other Environmental science » Earth science Environmental science » Other
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Robot Vision research environment. The role is aligned with the EPSRC OASIS Hub and will contribute to research in AI for advanced endoscopic imaging and computational imaging for interventional
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in