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researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track record of publications in top-tier venues such as SIGMOD, VLDB, ICML
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software and advanced computer skills. Demonstrate the ability to learn new techniques quickly and deliver work in a timely manner. Have experience with advanced mass spectrometry platforms, particularly
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detector, construction of the outer detector system in the far detector, development of machine learning algorithms for particle reconstruction, and studies of CP violation in neutrino oscillations
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(PhD entry level $105,518 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods to analyse