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Field
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, including Machine Learning & Artificial Intelligence, Colour & Imaging, Computer Vision, Graphics, Data Science, Health Computing, Computational Biology, Cyber Intelligence and Networks. We collaborate with
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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through a One Welfare and human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate
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that are a core part of real world interactions. The consequences for embodied learning without haptic feedback in digital environments remain largely unknown. As VR training proliferates across sectors
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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at the intersection of smart cities, digital governance, and innovation ecosystems, focusing on how digital technologies can support the design and operation of complex urban innovation districts. The anticipated
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processes to drive the selective conversion of captured CO₂ into targeted valuable products, such as sustainable aviation fuels (SAFs), methanol, ethylene, or polymer precursors. This multidisciplinary
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focus on resonant acoustic mixing (RAM) - a relatively novel and increasingly important class of process equipment attracting growing industrial interest across multiple sectors. At its core, the project