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Postdoctoral Research Position on Deep Learning in HeliophysicsClosing date: 2020-05-01
Contact: Kamen Kozarev
A two-year position with a possibility for extension, preferable starting date in May or June 2020; working language is English. The position will focus on development and application of data processing techniques and machine/deep learning models for the characterization and understanding of solar eruptive transients. Specifically, you will process, analyze and model EUV imaging of coronal mass ejections (CMEs) and shock waves (SDO/AIA), as well as advanced low-frequency radio interferometric observations of thermal and non-thermal CME emission (MWA and LOFAR telescopes).

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