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speech recognition and meaning classification. You will help create a system that can detect live emotional content in the spoken (or sung) word, mapping this to visual animations based on sample banks
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on that. Key requirements for our system are minimum latency to allow the visual response to be immediate and a good success rate that will work on most visitors. You will research, use and fine-tune existing
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We are seeking an ambitious and highly motivated Research Fellow in Computer Vision to contribute to an EPSRC-funded project, LungSight, focused on visual and acoustic screening for early detection
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partners in co-designing and evaluating AI-enabled systems and contribute to research in Human-Computer Interaction (HCI) and Assistive Technology. This is an excellent opportunity for a motivated researcher
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the ability to interact effectively with a wide range of clients. Good knowledge of food hygiene and health and safety standards (Level 3 Food Safety or willingness to obtain within 3 months of appointment
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and partner urban sites, the successful candidate will collect and analyse real-world environmental data to evaluate how vegetation interacts with the built environment. You will be supported by a
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at the point of care. The project will: Investigate fundamental electrode–biomarker interactions using advanced electrochemical and surface characterisation techniques, including Manchester Met’s unique EC-AFM
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incidents and requests a year, 11,000 live chats, circa 20,000 phone calls, and thousands more face-to-face interactions. The team delivers exceptional levels of service, resolving 73% of tickets at first