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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
the University’s sustainability initiatives in line with the Environmental Management Plan. The Environmental Sustainability Manager works across campus to assess, develop, facilitate and monitor environmental
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research, evidenced by publications in peer-reviewed journals and conference presentations. You will have a solid background in computational biophysics, with the ability to develop and pursue innovative
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increase in hours will be considered) Working at ANU This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching
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someone with good project management experience. About the College The ANU by 2025 Strategic Plan calls for the University to serve society through transformational research and education. As one
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calls for the University to serve society through transformational research and education. As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our
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interpersonal skills and the capacity to quickly develop productive, professional relationships with colleagues and stakeholders. Highly developed organisational skills and effective self-management are also
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the ongoing evolution and success of the Centre’s collaborative projects. The Person We are looking for an experienced and proactive professional with a proven track record in project management and office
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with international colleagues. About the Mathematical Science Institute (MSI) The Mathematical Sciences Institute (MSI) at the Australian National University (ANU) is a leading international mathematics
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initiatives is highly regarded. Whether you're a natural storyteller, an organised planner, or simply passionate about making University life better for others, we’d love to hear from you. About Us Student Life
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Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore