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the people who discover them The Opportunity The Environmental Informatics Hub is a new initiative of the Faculty of IT at Monash University that brings together researchers from the Faculty of IT with
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: Delivering end-to-end administrative support for research funding processes, ensuring documentation is complete and compliant with Monash policies and best practices Preparing high-quality presentations
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on academic achievement. Preference to support applicants who are self-funded and/or employed by a Community based Indigenous Community controlled organisation. To retain this scholarship: You must maintain a
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strong sense of justice. As an alumni of Monash University (Mechanical Engineering), Michael was one of four engineers who established Vipac Engineers and Scientists Ltd in 1973. Today, Vipac is an
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from one or more of Monash University's defined equity or personal disadvantaged groups Benefits $6000 per 48 credit points for one year only. Number offered One scholarship is available at one time
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culture where everyone is supported to succeed. Learn more about Monash . Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us. Monash supports
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are essential. Experience and/or training in Good Clinical Practices and the ability to support training and operational improvements will also be key to success. This is an exciting opportunity to contribute
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. To be successful in the role the eligible candidate will have: Technical proficiency in on-premise Microsoft server and database platforms and management systems (e.g. Windows Server, System Centre
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
stipend scholarship conditions at: www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures . The Opportunity This PhD scholarship is funded to contribute towards
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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