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will be considered) Experience of working with both qualitative and quantitative analysis completed during study Experience of using electronic databases and datasets, particularly of legal texts
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Digital Provenance Research and Collection Histories Computer Vision for Art Historical Research Cultural Analytics and Network Analysis Geospatial Approaches to Art History Supervision The Fellow will also
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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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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Duty (PSED). Other relevant criteria from our equality and diversity knowledge, skills and experience document . Further particulars can be found here Informal enquiries to Lisa Powell, email: l.h.powell
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applications sent directly to this email address will not be accepted. Further details: Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures
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directly to this email address will not be accepted. Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs – indeed
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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration
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, skills and experience document . Further particulars can be found here Informal enquiries to Heather Long, email: [email protected] Use of AI in applications: We want to understand your genuine interest