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PhD Position in Heliophysics and Machine Learning at the University of Geneva	Closing date: 2020-09-10 Contact: Lucia Kleint
The University of Geneva invites applications for a PhD student position in Heliophysics and Machine Learning. The student will work in the interdisciplinary PRIMA group "Understanding Solar and Stellar Flares with Machine Learning" funded by the Swiss National Science Foundation. This project has the goal of developing, implementing, and using methods to analyze large (Terabyte) astronomy data sets to better understand the physics of flares.
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More information can be found here: http://sip.unige.ch/news/phd-position-in-heliophysics-and-machine-learning/ The PhD student will be employed at the computer science department of the University of Geneva. The length of a PhD is typically 3-4 years. Support for conferences and collaborations, as well as potential telescope observing is available. The selection of candidates will start after September 10, 2020 and continue until the position is filled. The starting date is negotiable, preferably around January 1, 2021. For more information about the project and to submit your application please contact Dr. Lucia Kleint (lucia.kleint @ fhnw.ch) PhD Position Offer 1206 submitted on Mon Aug 03 14:21:22 CEST 2020

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