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the School's research excellence and reputation. We are looking for candidates with their knowledge and experience in the key focus areas: Essential Expertise in tissue engineering and regenerative medicine
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the School's research excellence and reputation. We are looking for candidates with their knowledge and experience in the key focus areas: Essential Expertise in tissue engineering and regenerative medicine
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and the highest in Australia. For further information on our school, go to - https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering Skills & Experience PhD in
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criteria from the Position Description below For further information about this position, please contact Professor Xiaolin Wang, Sciences and Engineering, Xiaolin.Wang@utas.edu.au Please visit https
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 12 hours ago
candidate will hold a PhD in either Human Geography, Science and Technology Studies, Science Communication, Development Studies, Anthropology, Environment and Society, Public Policy, or a closely related
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Tissue Engineering, Cell biology, Biomaterial/protein engineering, Biomedical, chemical engineering and to conduct cutting-edge research. The Research Assistant/Fellow will work with research teams and
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engineering A record of scientific research achievements commensurate with career stage, including publications in international peer-reviewed journals Experience of developing numerical codes in a scientific
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electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks and/or variable
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electrical and electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks
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electrical and electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks