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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation
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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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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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ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to apply
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manufacturers and the ability to meet milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights
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position, available until December 2027. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
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analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly Experience in space solar cells qualification, acceptance standards and tests. Sponsorship
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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the opportunity The School of Medical Sciences is seeking a Postdoctoral Research Associate in Cardiovascular Bioengineering in the Laboratory of Assoc Prof Anna Waterhouse in the Theme of Chronic