116 environment-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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and the experts at NSW Department of Climate Change, Energy, the Environment and Water (DCCEEW). Lead the preparation of a report describing the research and its outcomes to NSW DCCEEW. Document all
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research environment, partnering with leading researchers and industry stakeholders to deliver impactful outcomes that support environmentally sustainable mining and mine-site rehabilitation. Key
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inclusive research environment. *This position requires a criminal history and qualifications check. How to Apply To be considered, please apply online with your CV and a cover letter outlining how your
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brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged. As part of our commitment to excellence in research and
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AI-mediated approaches in a supportive environment committed to creating change together. Key responsibilities will include: Research: Conduct complex studies as part of a multi-year research program
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at The University of Western Australia is a vibrant and intellectually diverse environment, supporting over 3,500 undergraduate and postgraduate students across disciplines such as History, English, Languages
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how bespoke surveys, standardised data sets, advanced quantitative analysis, and qualitative data can inform government policy and decision making in the marine environment, while building capacity
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; and foster a collaborative and supportive research environment. Citizenship and Service: Demonstrate leadership through collaboration, mentoring and active participation in strategic initiatives
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
approaches to understanding plant strategies. Experience managing and analysing ecological datasets with proficiency in R or other statistical programming environments. A strong publication record relative
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datasets with proficiency in R or other statistical programming environments. A strong publication record relative to career stage, demonstrating the ability to combine field sampling, quantitative trait