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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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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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statistical and quantitative modelling. The successful candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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expectations, contribute to professional and collaborative activities, and have experience supervising research students while translating research into real-world outcomes. You will possess: Completion of a PhD
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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seminars, workshops, or training activities aligned with the project. Who we are looking for - Selection Criteria: Essential PhD (or equivalent) in Computer Science, Software Engineering, Artificial