336 development-"https:"-"https:"-"https:"-"European-Commission" positions at Monash University
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discovery. While deep generative models have shown promise in proposing novel molecular structures, they typically require massive, cleanly labelled datasets to train effectively. In practice, acquiring high
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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ongoing availability of animals for research programs Supervise, train and mentor staff, including work allocation, performance monitoring, and operational problem solving Partner closely with researchers
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-model fusion”. The successful candidate will develop near-real-time integration between emerging environmental and ecological AI-driven data sources (e.g., automated acoustic and machine vision species
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. This role includes user training, equipment design, procurement, alignment and maintenance, vendor liaison, and the development of operating procedures, alongside data analysis and operational and budget
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. The role will report to the Faculty’s Student Recruitment and International Development Manager under close supervision and will be required to undertake most of their work hours in-person from the Faculty
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research often overlooks the complexities of mixed-vehicle environments, and the development of optimal deployment, routing, and charging strategies. This project aims to address these gaps by optimising