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and circumstellar processes, (exo-)planetary science, atmospheric physics and instrumentation. UCL was the first university in England to welcome students of any class, religion, and the first to
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developing algorithms for anomaly detection that would identify potential technosignatures within these vast data sets, focussing on optical transients or other large datasets. Citizen science is also of
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galaxies. The successful candidate will contribute to the exploitation of data from the GECKOS survey, a new VLT/MUSE Large Programme. GECKOS gathers deep, high spatial resolution MUSE data for 35 nearby
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have a PhD in astronomy/astrophysics or a closely related field by the starting date. Candidates are sought with experience of code development for numerical astrophysics simulations on high performance
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some of the first statistical studies of dwarf galaxies outside the local neighbourhood. The successful applicant will combine data from new deep-wide surveys – e.g. the Hyper Suprime-Cam surveys and the
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beyond, to prepare for forthcoming surveys, such as those with the Rubin Observatory, Euclid, DESI, and Simons Observatory. The applicant should have a PhD in astronomy/astrophysics or a closely related
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Do you have a passion for astronomy or astrophysics research and apply artificial intelligence (AI) or data science techniques to explore the universe? And can you share your knowledge with clarity