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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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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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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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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
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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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excellent opportunity to bring real-world marketing insights into the classroom and contribute to the development of future marketing professionals. Key Responsibilities: Deliver tutorials or support lead
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. Working under the guidance of the Professor of the area, the role helps coordinate codesign activities, develop bespoke materials and surveys, and assist with data collection, analysis, and research
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, Melbourne. We are seeking PhD candidates interested in developing methods to assist the formative assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure
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a unique opportunity to influence and develop the Faculty’s curriculum and research training programs, thereby shaping the future of educational research and practice. This position demands a special