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Field
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(AI)-driven speech and voice analysis present transformative opportunities to enhance emergency call triaging. For instance, identifying specific audio features, such as laboured breathing or vocal
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours BST on Sunday 20 July 2025 Reference: PHD-SELF-OCT-2025
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network and enhancing their career prospects. From this experience, the student will gain a wide range of transferable skills that will significantly enhance their employability. They will develop strong
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applications received after 5pm or incomplete applications will not be included in the competition. Decision date We expect to communicate the outcome to 2025 entry applicants in May 2025. Unfortunately, we
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overnight stay for post anaesthesia recovery. The needed post-operative care is predicted manually based on a pre-operative assessment for surgeries case selection to be scheduled for each day. This decision
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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collaboratively in multidisciplinary and international research teams. - Communicate effectively both verbally and in writing, in both formal and informal situations. - Present findings in academic conferences and
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language technologies and to design transformative approaches to overcome them. The student will develop new methods for multilingual NLP that can be applied also to low resource languages. Research will
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Chemistry, Physics, Chemical Engineering or Material Science. Solid knowledge in Physical Chemistry and Surface Science. Pre-knowledge on programming and Molecular Simulations (MD or MC) are desirable. Only
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experts in academia, industry, and clinical settings will provide valuable networking opportunities and insights into real-world applications, preparing the student for a successful career in healthcare