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impact. Adept at effective outreach and networking in support of the CoE's ongoing growth within the UK's materials landscape. Willing to work within the UK Defence Landscape. Willing to be security
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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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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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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 enterprising spirit. The School runs a full range of programmes including undergraduate, postgraduate and MBA programmes, as well as a PhD programme. The School works closely with a network of business 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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at effective outreach and networking in support of the CoE's ongoing growth within the UK's materials landscape. Willing to work within the UK Defence Landscape. Willing to be security checked to any level
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in multiple input multiple output (MIMO) wireless connectivity Experience of fabrication of antenna prototypes, skills in RF test and measurement such as using a vector network analyser Ability
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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