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and work with colleagues in our Digitisation Team to make available a selection of high quality digital images from the archive. You will also support the work of the Project Collections Assistant and
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Director Dr David Warriner. The Academic Training Lead is Professor Alex Rothman. Further details of the NIHR IAT pathway can be found at: https://www.nihr.ac.uk/explore-nihr/academy-programmes/integrated
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Project Assistant to support the DIEGEST project, an international initiative developing a digital tool to transform ancient coin die studies. You will prepare and quality-check coin image datasets and
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play. You will: Prototype interactive systems using digital fabrication, physical computing, and tangible interaction techniques Explore interactive materials and shape-changing artefacts and augment
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design and develop cross-sensory interactive technologies that combine a wide range of modalities such as touch, sound, light, scent, and taste to create new forms of inclusive play. You will: Prototype
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directly at the edge. The postholder will investigate novel hardware–software co‑design approaches enabling AI‑driven video processing on energy‑harvesting devices under extreme power constraints
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Job Purpose We are seeking a highly motivated Computer Scientist to advance tissue-based research through innovative computational and artificial intelligence (AI) approaches to pathological images
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Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
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online exhibitions (images, audio and text.) 2. Support efforts to promote new and existing digital resources to attract new audiences and better reach existing audiences. 3. Liaise with SGSAH team
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production of problematic waste, and carbon emissions. At the heart of achieving such a replacement are digital tools creating a systems approach linking base material processing through to part integration