373 computer-programmer-"Multiple"-"U"-"O.P"-"Prof"-"Prof"-"U.S" positions at Monash University in Australia
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through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my scholarship has provided. Am
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Doctoral Program or as part of a Joint Research Award. The Monash Doctoral Program enhances your research project with advanced training that equips you with the knowledge, skills and abilities needed
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expertise in advanced econometric techniques, data modelling, and statistical analysis. The Master of Applied Econometrics program combines rigorous coursework with hands-on experience, equipping you with
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
Monash, the three-year interdisciplinary project brings together academics in media, creative industries, cultural studies, sociology, and human-centered computing. The successful applicant will join the
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, Gholamreza Haffari Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [2] Learning How
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Asahi Study Grant Monash Travel Support Grant The Asahi Study Grant is a $6000 travel scholarship created to support students in the University’s Japanese Studies Program to attend a study tour to
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, including the ability to set priorities, manage time and plan work to meet deadlines. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer