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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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the most interesting thermonuclear reactions occur deep in their interiors; the red giant phase is also when stars are more likely to interact with a gravitionally bound companion, if they have one! Students
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applicant will generate high-impact research by applying state-of-the-art deep learning, molecular modelling, and GPCR pharmacology to accelerate drug discovery for dementia treatment in postmenopausal women
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requiring long-term strategies of building trust to gain access to the object of research. Fieldwork may consist of deep immersion in one place or research in a number of sites – in either case, the onus is
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) and Professor Bruno David of Monash University. These PhD projects will be part of the broader ARC project that aims to investigate the deep-time Aboriginal occupation of the shoreline and near-shore
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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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Antenna Design: Developing innovative antenna systems compatible with metal detector coils, optimized for tasks such as minimum-metal landmine detection and deep object detection. Low Power, Compact