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In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally solid materials such as tungsten have been the primary
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has important applications for structural materials used in nuclear installations and other irradiation environments. In future fusion devices and fast reactors, light-ion emission can lead to gas
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technique in which pre-compacted swarf is heated to just below the melting point of the material and then deformed. Done correctly, this fusion bonds the material together. The route allows waste swarf to be
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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correction, downscaling, quality control or data fusion. The research will contribute to the Australia-New Zealand Soil Moisture Data Assimilation System (ANZ-SMDAS), a collaborative initiative involving the
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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++ or other systems programming. Robotics and state estimation: SLAM, sensor fusion, place recognition, ROS/ROS2. Experience with UAVs, ground robots, or agricultural and forestry machinery. Practical
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fusion, machine learning, and systems modelling. We are at the forefront of method development towards large-scale data analysis and modeling of biological systems. Together with a wide range of
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position within a Research Infrastructure? No Offer Description In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally
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fusion/fission reactors, to aerospace gas turbines and concentrated solar power. This involves the design of fundamentally new alloys by computational methods; production through arc melting, powder