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(publications, preprints, software, reports). Highly desirable: • Demonstrated experience in inverse problems and/or statistical inference (ideally Bayesian). • Prior experience with satellite remote
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, cross-spectra, filtering, mode fitting). Inverse problems / inference applied to astrophysical flows (e.g., inversion methods, Bayesian/statistical inference, uncertainty quantification) Strong
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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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about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler
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(“propagates”); how it varies among diseases, subtypes, and individuals; how risk factors influence mechanisms. The role holder will work within a common Bayesian inference framework enabling quantification
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, Bayesian/statistical inference, uncertainty quantification) Strong programming and data-analysis competence; ability to produce reproducible workflows. Experience with version control (e.g., Git) and
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gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian
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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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about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler