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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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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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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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translate complex mission briefs and regulations into rigorous, traceable, regulator-ready requirements. The candidate will join an interdisciplinary community at Monash University spanning computing, systems
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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into infrastructure investment. The program helped me really open up, gain leadership and public speaking experience and gave me a better understanding of the industry and what I want to do next in my career. Am I
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Scholars Program or Bachelor of Pharmacy (Honours)/Master of Pharmacy Scholars Program. No application is necessary. You will be automatically assessed when you make your course application through VTAC
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research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy
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: pro-rata $120,138 - $132,610 + 17% superannuation The mitoHOPE program is seeking a communications specialist to support program research and operational outcomes. Central to the role will be
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural