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the project lead peer reviewed outputs relevant to acoustic tracking and project modelling objectives, and other objectives as appropriate. About you The University values courage and creativity; openness and
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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preparation of peer-reviewed publications relevant to project objectives support occasional teaching activities and contribute to the supervision of undergraduate and postgraduate students. The ARC-funded
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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journals. Disseminating work at national and international conferences. A track-record of interdisciplinary collaboration. Your employment is conditional upon the completion of all role required pre
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. The emerging radiation therapy paradigm of sparing healthy sections of the lung is hampered by inability to track changing function over the weeks of treatment. The team is uniquely qualified to deliver this by