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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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, from swarm robotics to mesh networks. The prototypical model system for the investigation of self-organised task allocation are social insect colonies, such as bees and ants. They are able to distribute
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to detail, accuracy, and understanding of confidentiality principles Well-developed communication skills, with experience drafting documentation and reports High level of computer literacy, including
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, providing opportunities for creating rich contextual environments without having to conduct site visits. This PhD project aims to leverage innovative spatial computing technologies and proposes Immersive
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, you’ll bring: A PhD in a relevant field. Proven record of scientific excellence, originality and research independence. Commitment to team science, open, responsible research (FAIR data), and a
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to pursue higher degrees such as a Master of Philosophy or PhD. Committed to lifelong learning, the Department supports the professional growth of radiographers, radiation therapists, and nuclear medicine
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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benchmarked against standard manual approaches. In addition to a topped-up PhD scholarship under the AI for Mental Health Next Gen program, Crank intends to hire the full-time PhD student in a part-time role
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest neuroscience based theories about how consciousness emerges in