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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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. 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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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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of research proposal submissions to funding bodies and actively seek collaboration with industry partners as appropriate Who You Are: PhD in Economics, Household Finance, Actuarial Studies, or a related
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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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manage the project to ensure the delivery of project milestones, coordinating tasks, monitoring progress, and maintaining accountability to funding and partner expectations. About you a PhD in soil or