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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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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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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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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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research priorities. About You Essential Qualifications and Experience A medical specialist qualification in an area of expertise relevant to the Sub-Faculty and Alfred Health. PhD or equivalent research
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Experience Medical specialist qualification relevant to the Sub-Faculty and Monash Health. A PhD or equivalent research doctorate in a relevant medical or health-related discipline. Senior academic standing
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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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distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
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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