209 it-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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is not about building another normal intrusion detection system. It is also not about simply applying machine learning to classify network traffic as normal or malicious. The project is not focused
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Evidence synthesis is only as strong as the methods behind it, and the people willing to push those methods forward. This Associate Professor (Research) role sits within the Australian Living Evidence
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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discover them Talent doesn't always come looking - sometimes it takes a skilled sourcer to find it first. If you thrive on the challenge of identifying exceptional people before they've even considered
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ideas - and the people who discover them Talent doesn't always come looking - sometimes it takes a skilled sourcer to find it first. If you thrive on the challenge of identifying exceptional people before
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initiative that brings together expertise from the Faculty of Medicine, Nursing and Health Sciences (FMNHS), the Faculty of Information Technology (FIT), and the Faculty of Pharmacy and Pharmaceutical Sciences
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the people who discover them The Opportunity The Operations Manager will play a pivotal role in enabling the AiLECS Lab to undertake its research in domains of varying complexity and sensitivity
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machine learning techniques, the model processes visual data to recognize distinct architectural features, signage, and contextual cues associated with each landmark type. It enhances location-based
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with annual indexation) Faculty of Information Technology Tuition Fee Scholarship (for international students only) Industry Top-up scholarship of $10,000 per annum FIT Candidature Funding of $4,000
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training objectives are intrinsically risky and have proposed an alternative paradigm: a non-agentic "Scientist AI" that explains the world from observations rather than acting in it, combining a world model