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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 675715 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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- $128,126 pa HEW Level 08 (plus 17% employer superannuation) Lead the delivery of a national multi-centre telehealth clinical trial improving post-ICU recovery Work alongside work-renowned intensive car
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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methodologies like machine learning, unstructured data analysis, etc., applied to substantive marketing topics like social media, digital advertising, digital platforms, etc. In addition, we would be keen to hear
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, virtual screening, molecular docking, structure-activity relationship analysis, and machine learning. Candidates should embrace opportunities to tackle new problems and challenges as part of a dynamic team