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closely related discipline. • Minimum of two years of postdoctoral experience. • Demonstrable expertise in Bayesian inference and probabilistic modelling; experience with Stan, PyMC, NumPyro, Turing
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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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to astrophysical flows (e.g., inversion methods, Bayesian/statistical inference, uncertainty quantification) Strong programming and data-analysis competence; ability to produce reproducible workflows. Experience
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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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radio interferometry data, particularly very long baseline interferometry. Experience with or skills relevant to statistical modelling and Bayesian inference. Demonstrated familiarity with the fields of X