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of PhD thesis work. 5. Contact information for two reference persons. The application should be written in English or Swedish, and attached in Word or PDF format. The application should be registered via
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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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behind black hole horizons and spacetime singularities. Main responsibilities The position involves mostly research conducted in a close collaboration with the PI, one PhD student, as well as other members
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people, including 35 PhD students and 15 postdocs, in 25 research groups, work at DEEP. More information about us, please visit: the Department of Ecology, Environment and Plant Sciences . Project
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with equal opportunities for all. Contact Further information about the position can be obtained from Prof, Jens Jasche, phone: +46 8 553 780 37, jens.jasche@fysik.su.se and the OKC director and PI