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Statistics Location: Highfield Campus Salary: £44,263 to £56,021 per annum Full Time Permanent Closing Date: Monday 03 June 2024 Interview Date: To be confirmed Reference: 2684824PJ We are seeking
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close to completing, a PhD (or equivalent professional qualifications) with strong quantitative research methods in a relevant discipline (e.g. gerontology, statistics, demography, economics, social policy
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century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real-world problems. This is combined with qualitative
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addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain
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at workloads requiring large amounts of GPU memory or long run times. A vibrant, diverse, and inclusive academic community. Opportunities for professional development and career growth, e.g., mentorship of PhD
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Chris Allgrove from lngenium and Professor Richard Guest from the School of Electronics and Computer Science at the University of Southampton, we are looking for someone with a PhD (or near completion) in
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with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and
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be working with Dr Ying Ye and Professor Neil Ferguson (ISVR) and collaborator Professor Markus Heller (Mech Eng). You need to have a PhD in Acoustics, Sound and Vibration Engineering, Human Factor