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Your profile The ideal candidate would have expertise in applying Bayesian statistical methods to astronomical datasets, experience modelling exoplanetary transits, deep knowledge of atmospheric physics (e.g. chemistry, radiative transfer, etc.), and a proven track record as
Universität Bern is seeking a researcher to contribute to the IN/AT‑SYNC JWST project focusing on sub-Neptune atmospheres. The ideal candidate should be proficient in Bayesian statistical methods and have experience with exoplanetary transits and atmospheric physics.