[PostDoc] data science / astronomy: Modeling high-contrast intensity observations for the study of circumstellar disks: from data-driven calibration to the integration of physical priors
Keywords: deep learning, data-driven approaches, inverse problems, hybrid approaches, calibration, high-contrast imaging, nuisance modeling, reconstruction of circumstellar disks. Context: The observation of the close environment of stars can reveal the presence of exoplanets and circumstellar disks, providing crucial information for a better understanding of planetary system formation, evolution, and diversity….