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Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications. Southampton's School of Mathematical Sciences is home to a
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Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications. Southampton's School of Mathematical Sciences is home to a
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16 Dec 2025 Job Information Organisation/Company University of Dundee Department Science and Engineering Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1
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-contractual basis) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: A PhD in Statistics, Data Science, or Epidemiology with experience in causal inference
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related to STEM (Science, Technology, Engineering, Mathematics), such as (but not limited to) the followings: - Computing in medical applications e.g. early cancer detection (lung, breast, skin, oesophagus
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a PhD (or be near completion) in Physics, Engineering, or a related discipline, or equivalent industrial/commercial experience. You’ll have experience in the independent development of brain and body
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of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In
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related to STEM (Science, Technology, Engineering, Mathematics), such as (but not limited to) the followings: - Computing in medical applications e.g. early cancer detection (lung, breast, skin, oesophagus
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, Computing Science or a related discipline. - A PhD in a Physical Science, Engineering or related subject. - Evidence of experimental research or development experience in a field related to microfluidic
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responsibilities We are seeking a full-time Research Fellow to join the Adaptive Systems Research Group (ASRG) at the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct