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-dynamical perspective, offering substantial scope for fundamental new insights. Keywords: applied mathematics Computational Fluid Dynamics Fluid mechanics Application Instructions To Apply Applicants
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), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to
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, biocatalysis, synthetic biology, structural biology or biological, bioinorganic or medicinal chemistry. Evidence of excellent undergraduate achievement in biological or inorganic chemistry. An emerging
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demonstrated experience conducting original research and developing a research profile in a relevant field expertise in coastal wetland processes, sediment dynamics and/or geomorphological research proven
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dynamics, stability analysis, renewable energy integration, or related areas. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power
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environmental and management conditions. Develop innovative phenotyping approaches, ideally combining imaging, mechanical testing or sensor-based measurements for structural traits. Produce quality research
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decision-support resources. Research: Lead stakeholder decision dynamics research with growers, advisers and industry representatives, including research design, sampling, ethics, quality assurance
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expertise in coastal wetland processes, sediment dynamics and/or geomorphological research proven experience undertaking field-based research in coastal environments strong publication record relative to
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the State or enrolled at one of their universities. For information consult the following: https://www.gwnsw.org.au http://www.afuwsa-trust.com.au/postgraduate-scholarships/ http://gwq.org.au/awards
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create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT