611 associate-professor-computer-science "https:" "https:" "https:" "https:" positions at Monash University
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the program. Working at both strategic and operational levels, the position manages technical programs, resources and risk, contributes to planning and budgeting and provides authoritative technical advice and
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Science to contribute to groundbreaking clinical research in neurorehabilitation for people with stroke or brain injury. Based at The Alfred Centre, you’ll join one of Australia’s largest and most dynamic
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release, and awards. Using quantitative data analysis methods, the project aims to identify patterns and factors associated with successful film outcomes. This minor thesis is suitable for students
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explores how people of different ages play together, focusing on the experiences and perspectives of all participants. Working within a broader research program, the candidate will collaborate with
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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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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering
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Research Fellow - Organ-on-chip Technology Job No.: 692000 Location: Parkville Campus and Melbourne Centre for Nanofabrication in Clayton Employment Type: Full-time Duration: 2 year fixed-term
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Daniel Horsley, School of Mathematics, daniel.horsley@monash.edu Position Description
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Bernard Flynn, Chemical Biology and Drug Discovery, +61 3 9903 9650 Position Description
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated