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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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This research project is part of a DECRA fellowship funded by the Australian Research Council for a project titled, Everyday Insurtech: Impacts of Emerging Technology for Insurance. The fellowship
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knowledge that positively impacts the world. Monash University’s research support services in Animal Ethics support research activities in biomedical research, pharmaceutical sciences, and ecology and
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in the Faculty of Engineering at a Monash campus in Australia. Demonstrating leadership through community and industry engagement. From one or more of Monash University's defined educational
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The Opportunity Are you a strategic leader with a passion for creating safer, healthier, and more supportive environments? Join the Faculty of Engineering as our Health, Safety & Wellbeing (HSW) Faculty Lead and
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
Monash, the three-year interdisciplinary project brings together academics in media, creative industries, cultural studies, sociology, and human-centered computing. The successful applicant will join the
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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 Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details This opportunity invites applications
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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