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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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manufacturing through FDM, SLA, SLS printing technologies Expected outcomes The PhD project will generate novel numerical algorithms and design strategies, opening a new research avenue in computational
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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of masculinity, especially in relation to younger male audiences. The successful applicant may explore such questions as: What drives engagement with manosphere communities? How do algorithmic systems and platform
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algorithm that allows accurate simulation of fluid transport processes in porous media coupled with chemical reactions (e.g. dissolution and precipitation). The algorithm will be validated firstly against
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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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energy resources. The expected outcomes include technical advancement of distributed algorithms for managing energy resources at customer premises. The benefits include more resilient, secure, private, and
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-driven transformations, interactions with protozoan hosts (including amplification of pathogens such as Legionella), and the exchange of regulatory and genetic material via extracellular vesicles. Despite