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to support capacity development in statistics in these institutions when such visits are appropriate & safe. The ideal candidate will have a postgraduate education in medical statistics and a demonstrated
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finance, social entrepreneurship, the entrepreneurship industry, and immigrant entrepreneurship. ASSESSMENT CRITERIA AND QUALIFICATIONS This is a career development position primarily focused on research
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options Training and professional development Onsite childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic
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applications. The project is highly multi-disciplinary, integrating algorithm development, engineering, physics, and biology components. Candidate do NOT need to have expertise in biology to apply. BIRTLab
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) for the National Institute for Health and Care Excellence (NICE) and other leading agencies. Key tasks associated with this role include: appraisal and development of network meta-analyses; appraisal of statistical
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collaborative research to develop knowledge bases of the behavior, ecology, physiology, and genetics of invasive insect pests and their natural enemies for development of effective biological control strategies
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Focus your research on the development of new polymer sorbents for the removal of emerging global contaminant per- and
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research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often
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to develop a career and competence development plan in dialogue with the supervisory team early in the appointment period. The successful candidate will receive close supervision and is encouraged to develop a
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key part in supporting Australia’s transition to green ironmaking by developing a quantitative framework that connects impurity content, process parameters and microstructural evolution to scalable, low