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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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matter observatory. Main responsibilities The postdoctoral candidate is expected to focus on statistical data analysis including machine learning, Monte Carlo simulations, operations and calibration
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, including excitation to Rydberg states. Performing high-precision measurements and data analysis of quantum dynamics in the trapped-ion system. Investigating novel applications of Rydberg-ion-based quantum
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to Reionization from observational and numerical perspectives. Main responsibilities The observational projects will involve analysis of both imaging and spectroscopic data obtained from JWST, HST, and other
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to the broader scientific community through innovative methodology development, analysis of survey data, and interdisciplinary collaborations. Postdocs are welcome to participate in Nordita scientific programs
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, using a PerkinElmer scanning spectrophotometer. Sentinel-3 OLCI data will be used to determine depth limits for underwater vegetation growth. The postdoc will carry out satellite data analysis with