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data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
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are enrolling in the Doctor of Philosophy – Engineering and Information Technology in Computing and Information Systems. Benefits This scholarship provides a fortnightly top-up stipend at the rate of $20,000 per
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
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: Future study Study area: Agricultural and veterinary sciences; Architecture, building, planning and design; Arts, humanities and social sciences; Business and economics; Education; Engineering; Environment
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of curriculum, teacher professionalism and educational technology.
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engineering and socio-technical research, and will engage with government and industry stakeholders under confidentiality arrangements. You will contribute to open, reproducible methods and public guidance
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and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University (Perth, Western Australia). The objective of this project is to develop and test new methods
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the academic staff at SIT. We are looking for PhD students to work on projects on stochastic optimisation algorithms for hyper-parameter tuning in Machine learning. The successful candidate will explore
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scholarship. Additional support also available for project resources and conference attendance. Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in
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type Current Students Future Students Faculties and centres Faculty of Science & Engineering Science courses Course type Higher Degree by Research Citizenship Australian Citizen Australian Permanent