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Full time three (3) year fixed term opportunity. Located in the Carslaw Building (F07) on the Camperdown Campus Opportunity to contribute to research focused on representation theory and be part of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
of these domains can be considered. The Systems Theory and Robotics group is a world leading research group in the development of foundational theory, algorithms and technology for application to robotic system
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to connect to the broader activities of the Monash Stellar Explosions group and its international collaborators in supernova theory, stellar evolution, nucleosynthesis, and multi-messenger astronomy
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for someone who thrives in a dynamic, research-intensive environment. You will collaborate with academic and industry partners, contributing to innovative projects that bridge cutting-edge theory with real
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
combination of techniques from representation theory, group theory, algebraic geometry, combinatorics, and other fields of mathematics. The level of this appointment, Academic Level A or B, will be determined
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or Research Fellow to contribute to groundbreaking quantum algorithms research led by Dr Riddhi Gupta and Associate Professor Sally Shrapnel. You’ll work at the forefront of theory, simulation and
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, group theory, and/or graph theory will be necessary. Experience in modelling biological processes, and in algorithm development or computation will also be valuable. Proven commitment to proactively
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join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting opportunity for an early
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting