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. Wallace (1996). MML estimation of the parameters of the spherical Fisher Distribution. In S. Arikawa and A. K. Sharma (eds.) , Proc. 7th International Workshop on Algorithmic Learning Theory (ALT'96
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Full Time, Continuing Position Campus Independent HEO5 Classification Potentially multiple positions available About the position The ASK La Trobe team serves as the frontline team for all current
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that drive measurable improvement. Proven ability to work autonomously, take initiative and drive strategic change, while managing multiple priorities and delivering against tight timeframes. Project
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education sector have excellent time and workload management skills with demonstrated ability to prioritise effectively, manage multiple tasks, meet deadlines, and achieve required outcome have demonstratable
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a highly organised and dynamic person who thrives on working autonomously and can manage multiple priorities while being part of a collaborative team in a busy and growing environment. We are looking
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in events management including organisation of events across multiple sites and reporting outcomes of those events. In addition, you will have the ability to provide high level administration and
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to manage multiple tasks simultaneously and prioritise competing deadlines Extensive experience with Adobe Creative Suite A keen eye for brand consistency, with experience applying house style guides About us
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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-based professional development activities in online learning, across multiple learning and teaching approaches and disciplines. Demonstrated experience in developing interactive, authentic, user-centred
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who translate complex business needs into effective and efficient cloud solutions. They are expected to be hands-on while also providing technical leadership and mentorship to multiple teams. About You