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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 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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Mechanical Engineering, Applied Mathematics, Computational Modelling, Acoustics, Materials Science, or a related discipline. Demonstrated experience in multiphysics simulation, digital twin development
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guidance from the course or program coordinator in mechanical engineering. What we’re looking for: A demonstrated ability and understanding of research in the field of thermal and mechanical engineering
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Deadline 20 Apr 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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Deadline 20 Apr 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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£55,144 - £65,073 White City & South Kensington Ref: ENG03856 About the role: Funded by the Bezos Earth Fund, the $30m Bezos Centre for Sustainable Protein will apply cutting-edge Engineering
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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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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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will also collaborate across multidisciplinary teams and support the broader research program within the Department. About the Role Key responsibilities include: • Designing, conducting and analysing
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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