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Data-intensive PhDs at LIV.INNO prepare students for careers outside of academia

Physics World Weekly Podcast

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Data-Driven Astronomy: Bridging Skills and Applications

This chapter explores the critical role of data in astrophysics, focusing on the vast data sets from missions like Euclid that require advanced analysis techniques. It discusses the integration of machine learning in astronomy and the evolving training needs for PhD students to thrive in data-intensive research careers. Additionally, it highlights interdisciplinary collaborations and real-world applications, such as improving agricultural practices through cosmological methods and satellite data.

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