610 professor-computer-science "https:" "https:" "https:" positions at Monash University
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from...
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of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor David Gilbert, Director of Entrepreneurship +61 3 9903 4298 Position Description
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or academia in an under-developed domain. You will, therefore, need to have an honours degree or Masters in psychology or a related social science field (e.g., business studies, criminology, sociology
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following criteria: Current undergraduate on-campus student enrolled in at least the second year of their degree in either the Faculty of Business and Economics or the Faculty of Arts* at a Monash campus in
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of Music (and Double Degrees) with a specialisation in any stream (Classical Music Performance, Composition and Music Technology, Jazz and Improvisation Performance, Popular Music) in the Sir Zelman Cowen
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also provides additional accommodation support to students through a Preferred Accommodation Provider Program and the delivery of information and resources on the private rental market for the broader
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. Working closely with the High Achievers team that delivers the esteemed Monash Scholars Program as well as a range of stakeholders both internally and externally, you’ll drive positive student recruitment
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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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to the care of marginalised people. Total scholarship value Up to $30,000 Number offered 1 per year See details Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my
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University of Warwick (UK), explores the design and development of computational Decision Support tools to help us better manage the interactions between beneficial insects, such as bees, and the flowering