635 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Monash University
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Recent advances in technology mean we can now reappraise the exploration of the past as a future-aligned endeavour. The definition of the ‘past’ here is broad; the reconstruction of a bygone world
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scholarship to assist with on-campus accommodation costs. Total scholarship value Up to $2587 Number offered Seven See details Zhafira Ratna Aulia MRS Resident Advisor Scholarship As an international student
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relevant professional experience Understanding of relevant professional standards for teaching Demonstrated high-level interpersonal and communication skills Excellent use of technology including software
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in the Extended Rural Cohort of the Bachelor of Medical Science and Doctor of Medicine in the Faculty of Medicine, Nursing and Health Sciences at a Monash campus in Australia. ATAR 95+ or ATAR 80
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the following criteria: Current student enrolled in and commenced the final year (Year 5/D) of the Clayton BMedSc/MD degree (M6011 or M6018) in the Faculty of Medicine, Nursing and Health Sciences as a
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of technology-mediated/ data-based feedback and act on it? How can we enhance digital feedback literacy among learners through the development of feedback tools? How can we enhance the understanding of learner
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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I study galaxies and active galactic nuclei, endeavouring to understand how galaxies grow, what regulates star formation within galaxies and what triggers active galactic nuclei. My students and I use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from...
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student in any of the following degrees at a Monash campus in Australia: Bachelor of Computer Science Bachelor of Computer Science Advanced (Honours) Bachelor of Information Technology Bachelor
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based on matched-filter statistics. Detecting the unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary