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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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of written and spoken English (C1 Level), Collaborative, team-minded and pro-active attitude. High level of written and oral communication skills. Experience with the structures of the University of Vienna
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1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable benchmarks
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applicants embarking on a brand-new LSBU research programme—current PhD students and LSBU staff members are not eligible for this award. Why choose LSBU for your doctoral journey? LSBU is a dynamic, applied
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or international equivalent, in Statistics, Mathematics or a related subject with a strong statistical component A relevant Master’s degree is advantageous. Applicants whose first language is not English require
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datasets are advantageous. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. Successful international candidates will be required
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stipend for 2024-25 is £19,237) A research training support grant Opportunities to apply for additional funding towards overseas fieldwork, difficult language training, overseas institutional visits, and
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learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose mother tongue is not English must meet any one or a combination of the following: A
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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research and teaching in some subdivisions of his/her field; (d) be able to demonstrate effective classroom teaching skills; and (e) be highly proficient in written and spoken English. Conditions of