48 processor-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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literacy, including security systems, data analysis tools and the Microsoft Office Suite About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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Image processing and computer vision Experimental data analysis and uncertainty quantification Piezoelectric actuation, acoustic systems or electronic driver development Eligibility and Project
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develop team members, and deliver outstanding customer service. You will be a collaborative and proactive professional with sound computer skills, a commitment to safety and compliance, and the ability
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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processes and systems KSC 8: Advanced computer literacy and proficiency in Microsoft Excel and spreadsheet-based data analysis. This criteria is essential. Diversity is one of our greatest strengths at Monash
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analytical and problem-solving abilities, advanced computer skills across Microsoft Office and Google Workspace, and experience developing effective administrative processes will be essential. Familiarity with
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senior leaders, community representatives, and academic colleagues. You will demonstrate sound judgement, discretion, and a strong commitment to customer service, alongside advanced computer literacy and
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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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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture