533 embedded-system "https:" "https:" "https:" "https:" uni jobs at Monash University
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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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The Eastern Health Clinical School is inviting you to join us as a Research Nurse to coordinate clinical trials, ensuring top-quality data and optimal participant care. Your role includes recruitment management
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This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory angle, this project aims to build self-aware neural networks
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Sir John Monash Scholarships for Distinction This scholarship is for the highest achievers, the top performers, students who come close to perfection. As long as you attain an ATAR of 99.95 (85.00
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The Opportunity Monash University is seeking a Research Officer to join the Clinical Registries team within the School of Public Health and Preventive Medicine at 553 St Kilda Road, Melbourne. This role sits within
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intended to support female students in need to further their education and careers. Applications Not awarded in 2025 Total scholarship value Up to $30,000 Number offered One scholarship is available
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discover them The Opportunity The Department of Maintenance Technology Institute within the Faculty of Engineering is seeking a practical and detail-oriented professional to provide high-quality
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maximise efficiency. This project considers a future transport system that combines flying drones with conventional ground-level trucks. In this system, as a truck approaches a customer, a drone is launched
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from