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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
, 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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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
effective solutions. Learn more about the ground-breaking research and work class facilities of the Research School of Chemistry here . For more information about the position please contact Hongyi Xu on T
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
, Career support, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science
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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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, Designated parent rooms, quiet spaces and childcare facilities on campus, Career support, training, mentoring & upskilling opportunities . For more information on a range of lifestyle, financial and non
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to the delivery and support of the ARC Industrial Transformation Training Centre for Radiation Innovation (RadInnovate). RadInnovate aims to build new capabilities for nuclear science and radiation by training