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links https://www.abs.gov.au/statistics/people/people-and-communities/gender-indicatorsGender Indicators, Australia (ABS https://www.pmc.gov.au/office-women/working-for-women-program/national-womens
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or
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meetings Participating in applications for competitive funding. Who we are looking for – Selection Criteria: A PhD in a relevant discipline such as Applied Statistics, Mathematics, and/or Agricultural
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such as Applied Statistics, Mathematics, Geography, Plant Pathology, Agronomy and/or Data Science. We will also consider candidates who are making progress towards PhD completion. A demonstrated track
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high-level research program. You may also: Hold a PhD in statistics or a closely related discipline. Have a strong publication record in statistical learning applied to large biological datasets
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to Research Committee members. Where suitable, supervise HDR candidates. What we’re looking for: Demonstrated expertise or qualification in statistics and quantitative research methodologies. Strong record
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to foster student engagement in fisheries science. What we’re looking for: A PhD or equivalent in a relevant field such as fisheries or marine science, statistics, quantitative ecology, population dynamics
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for (Selection Criteria): Essential: PhD in Soil Science, Environmental Science, or closely related field. We will also consider candidates who have completed their PhDs and are awaiting conferral