42 processor-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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and distributed across digital platforms. The research will build on Surrey’s world-leading work in content authenticity and media provenance. You will develop new Computer Vision, AI and multimedia
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footage, coordinate laboratory recording campaigns and human annotation of welfare states, and work closely with Ace Aquatec's engineering team to specify, train and evaluate AI/computer vision models
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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“participation”, and will consider candidates with a PhD in a variety of fields, including experimental and quantitative social sciences, human-computer interaction (HCI), design research, experimental psychology
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“participation”, and will consider candidates with a PhD in a variety of fields, including experimental and quantitative social sciences, human-computer interaction (HCI), design research, experimental psychology
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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, with opportunities to lead analyses, develop new expertise and contribute to high-impact scientific publications, and must have: A PhD, or equivalent research experience, in computer sciences
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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