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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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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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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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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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numerical skills A high-quality PhD in Applied Mathematics or Theoretical Chemistry/Physics with a solid knowledge of Quantum Mechanics. This position is upto 27 February 2027, starting as soon as possible
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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
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and computational time). You will be working closely with engineers at Rolls-Royce and with academics, postdoctoral research fellows and PhD students at the other University project partners
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an enthusiastic and highly motivated scientist with a PhD in molecular biology or a related discipline capable of trail-blazing our research. Ideally applicants should have published (or be about to publish) in
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Please apply on the University website with your CV and cover letter also answering the criteria questions. Further details Job Description Where to apply Website https://www.timeshighereducation.com
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interviews are scheduled for week commencing 23 February. Further details Job Description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406518/awe-research-fellow… Requirements