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Reference: 0181-26 Senior Research Associate in Machine Learning for Speech Processing Department: Phonetics Laboratory / Linguistics and English Language Contract: Full-time (1.0 FTE), fixed-term [18 months
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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involvement in major national and international research projects. Role You will conduct research as part of a Natural Environment Research Council (NERC) funded project: ‘Processes, Impacts, and Changes
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research community. We invite applications from experienced and enthusiastic individuals in the field, who have already attained a PhD in a highly relevant field of study. You must be able to demonstrate a
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health difficulties. This role will involve measuring the clinical and cost-effectiveness of the intervention, as well as carrying out a process evaluation to better understand how and why the intervention
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Opportunities to contribute to the supervision of PhD students within the MHRG may also be available. Person Specification Essential: PhD in a relevant discipline, or equivalent research experience Knowledge
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for further funding to extend the post. Candidates with any background that is relevant to this research will be considered. Preferred candidates will have a PhD or equivalent, with relevant experience in data
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considered. Preferred candidates will have a PhD or equivalent, with relevant experience in understanding social impacts of corporate behaviour (in labour, community and/or supply chain contexts). Experience
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activities. Candidates are expected to have a solid Computer Science background and must hold a completed PhD degree in Computer Science or a related field. Ideally, applicants already have experience in
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and