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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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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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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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collected data from sampling larval, juvenile and adult fish using a variety of methods (seining, BRUVs) and acoustic tracking to measure fish movement and connectivity. Expected outcomes of this project
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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