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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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: For the full advertisement, including details on the project, eligibility and how to apply, please visit: https://www.iwm.org.uk/research/doctoral-awards Candidate requirements: Applicants should ideally have
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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
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challenges. Supervisor information: https://experts.exeter.ac.uk/41651-tarje-nissenmeyer https://experts.exeter.ac.uk/41625-george-datseris Ready to bridge mathematical sciences with complex ecosystems and
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. More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk/study/postgraduate-research/areas/forensic-and-neurodevelopmental-science
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Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: PhD in ICSA with a start date of 1 September 2026. Applicants should state “Memory Optimisation for Distributed ML Systems” in the ‘Research Topic’ section of the application form, and...
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Please contact us directly at tde-tdestudentships@brookes.ac.uk before applying. Apply directly via the university portal here: https://www.brookes.ac.uk/study/how-to-apply/applying-directly . Please
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at each level and, secondly, the general qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Science, Agriculture & Engineeringhere: https
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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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