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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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years. This role will develop and apply new machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue
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platform for global collaboration, creative scholarship, innovative teaching and learning, and cultural exchange. About the Judith Neilson Chair of Contemporary Art: Since 2018, the Chair and successive
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approach and a willingness to learn. While the appointee may not currently possess all the required skills and experience, they will be supported to develop the necessary capabilities About you PhD in plant
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approach and a willingness to learn. While the appointee may not currently possess all the required skills and experience, they will be supported to develop the necessary capabilities About you PhD in plant
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biology, agricultural systems, climate science, or a related discipline. Evidence of development of innovative and effective approaches to teaching and learning in areas related to environmental monitoring
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biology, agricultural systems, climate science, or a related discipline. Evidence of development of innovative and effective approaches to teaching and learning in areas related to environmental monitoring
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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. Position description: PD [Postdoctoral Research Associate (PSIC)] [522165].pdf To learn more about this opportunity, please contact Ryan Lister at ryan.lister@uwa.edu.au How to apply Please apply online