441 associate-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University in Australia
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Dewi
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-screen). Experience with these and associated techniques is highly desirable. Experience in the organic synthesis of small molecules is also desirable but not essential. The candidate will also contribute
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Vilija Jokubaitis, Deputy Head, Department of Neuroscience +61 3 9903 0880 Position
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real-life data. Expected outcomes include improved anomaly detection methods with reduced false positives, thereby reducing the costs associated with investigating false positives and minimising resource
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of Professor Diana Hansen. In this role, the successful candidate will participate in a multidisciplinary consortium, with research partners at Griffith University in Queensland. This NHMRC-funded project will
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for the role, as determined by the University. Enquiries: Professor Mehmet Yuce, Electrical and Computer Systems Engineering Position Description: Research Fellow Applications Close:Monday 13 April 2026, 11:55pm
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the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Mehmet Yuce, Electrical and Computer Systems Engineering
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& Orchestration) Associate Professor Markus Wagner, Interim Head of Department, Department of Data Science & Artificial Intelligence, markus.wagner@monash.edu Lecturer in Internet of Things & Lecturer in Software
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Fiona Wright