10 deep-learning-phd "Computer Vision Center" Fellowship positions at UNIVERSITY OF SURREY
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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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PhD degree (or equivalent) in Electronics/AI Engineering, Applied Mathematics, Physics or other areas related to Electromagnetics Theory. Postdoctoral research would be an advantage. The post holder
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research undertaken in both 5G+ and 6G for 2030+. About you The successful candidate must have a PhD degree (or equivalent) in Electronics/AI Engineering, Applied Mathematics, Physics or other areas related
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experimental tasks, conducting non-invasive brain stimulation and/or EEG recording procedures, and analysing EEG data. However, the role involves substantial training, including the opportunity to enrol in a PhD
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to PhD level in a technical subject, with relevant experience: Expertise in machine learning for audio, including speech, music and ambient sound generation Research publications in relevant areas, i.e
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substantial training, including the opportunity to enrol in a PhD program, to bring the clinical fellow to the highest level of competence in those research approaches. How to apply For more information and
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include organising summer schools, short-term missions, workshops, scientific conferences, training courses and supporting PhD students. Therefore, experience of organising events and communicating complex
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We are looking for applicants who hold, or are near completion of, a PhD in a relevant subject. Relevant professional experience will also be considered. The successful applicant will demonstrate
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improving accessible communication for people with learning disabilities and other underserved audiences, particularly in audiovisual and cultural contexts. The postholder will contribute to translating
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in an evolving strand of work focused on improving accessible communication for people with learning disabilities and other underserved audiences, particularly in audiovisual and cultural contexts