379 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at Monash University
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interested in, please apply via our website and complete the online expression of interest form https://www.monash.edu/ research-ethics-and-integrity/ animal-ethics/accordion- content/accordion_1 For further
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Emeritus Professor Codner Scholarship Achieving Potential Support Scholarship The Emeritus Professor Codner Scholarship has been established to provide support for commencing Faculty of Engineering
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There is an opportunity to enrich indoor rock-climbing or bouldering through interactive technology. This project builds on prior work and combines bouldering with Hololens and motion capture
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to facilitate novel bodily water play interactions in-water, on-water and underwater. An interest and experience with water-based activities, interactive technology, hardware prototyping (including actuators
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Computer Science Bachelor of Computer Science (Honours) Bachelor of Computer Science Advanced (Honours) Bachelor of Information Technology Bachelor of Engineering (Software Engineering) or Double degrees involving
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows