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non-financial rewards and programs, please click here . To see what the College of Science and Medicine at ANU is like, we invite you to follow us on social media at Instagram and Facebook . A Diverse
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, accountable to the Head of the Experimental Mechanics group. The Person To excel in this role, you are required to have a PhD in Geoscience, Experimental Physics, or engineering, with demonstrated experience in
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with: A PhD in in hydrology, environmental engineering, earth sciences or an equivalent, demonstrated sustained intellectual leadership in an area of relevance in academic and/or non-academic
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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closely related discipline of relevance to the Discovery Project) prior to starting employment. For a successful candidate who has not already been awarded a PhD, it is required that the thesis has already
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to establish experimental protocols, contribute to method development, and drive innovative structural biology research. This position offers an exciting opportunity to be at the forefront of crystallography
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) . The funding that supports this project has an expected end date of December 2026. Position Overview The position is fully funded by the National Environmental Science Program (NESP) Climate Systems Hub. The Hub
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
researchers and research organisations across diverse fields. Our Ideal Candidate Our preferred candidate will possess a doctoral qualification (PhD) in a relevant field in palaeoecology or geography
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mathematical, computational, and biological scientists to develop innovative computational methods that make biology predictive. The successful candidate will join A/Professor Jean Wen’s research group, the ANU
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overview The ANU Centre for Heritage and Museum Studies is seeking an early career researcher with a PhD in history or related field with a specific focus on Indigenous collections, digital knowledge