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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 15 hours ago
public engagement, ready to develop a strong research profile and help shape Australia's understanding of contemporary China. You bring rigour to your research and enthusiasm for sharing your expertise
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opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https
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the diversity of our community is extremely important to us and we are committed to the aims of Disability Confident Scheme. We are the first university to have achieved Athena Swan Gold Award . To help you
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. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [email protected] or calling +61 7 3365 2623. Applications close
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and co-author 2–3 high-impact journal publications annually. Project Management: Assist the PI in managing funded research projects and report research progress regularly. Collaboration: Work closely
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position working with Professor Clare Dunning to study Painlevé equations from an algebraic combinatorics perspective. Painlevé equations appear naturally in many areas of mathematics and physics including
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requires working both in-person in Lansing at the Michigan Department of Agriculture and Rural Development (MDARD) and remotely. IMPORTANT NOTE: ***Do not use AI tools in any part of the application process
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Essential criteria Degree in engineering, computer science, physics, mathematics, statistics or related quantitative discipline (UK 2:1 or equivalent) Meet all mandatory MSCA mobility rules - applicants must
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questions you should review before applying for the opening. To apply for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process please contact
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The appointee will assist the project leader in the research project - “Enabling secure and resilient distribution grid operations through physics-informed topology learning and coordinated network-load