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globally significant AI and thermal engineering research in Tasmania’s uniquely liveable environment Demonstrated excellent oral and written communication skills Full time, fixed‑term (2 years) appointment
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Apply now Job no:539155 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Mechanical and Manufacturing Engineering at the University
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
estimation in robotics, stochastic control in systems and control theory, stochastic image processing or probabilistic computer vision). The School/Department The School of Engineering brings together a
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Australia's national science agency, CSIRO is solving the greatest challenges through innovative science and technology. Many of our iconic innovations were once considered impossible until someone, just like
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Fellowships This year, the scheme supports outstanding early‑career researchers specifically in the fields of Science and Engineering, enabling them to build research momentum and establish the foundations
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engineering, process optimisation, media optimisation, product development and downstream processing, and any other aspect related to cultured meat Food science engineering, product development and gastronomy
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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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funding, and advance environmental engineering research. Contribute to the development and operation of water monitoring systems for research and teaching, supports consultancy activities, and provides
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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