Neural Networks in Space
Daniela discusses the exciting intersection of machine learning and astrophysics, particularly in modeling black holes and their effects on star formation. With a PhD position available, she highlights the need for innovative approaches to handle complex data from telescopes, emphasizing the potential of neural network surrogate models to enhance our understanding of these cosmic giants.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
732: Data Science for Astronomy — with Dr. Daniela Huppenkothen
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