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School of Electrical Engineering and Computer Science Part-time (80%), fixed-term position through to April 2028 Base salary will be in the range $112,572.59 - $133,381.10 + 17% Superannuation
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(Academic Level C) Based at our St Lucia campus About This Opportunity This is an exciting opportunity for a Senior Research Platform Fellow - Deputy Director for the National Quantum Computing Testbed
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School of Electrical Engineering and Computer Science Part-time (40%), fixed-term position through to April 2028 Base salary will be in the range $137,542.79 - $158,351.30 + 17% Superannuation
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 8 hours ago
Initiate and maintain academic and industry collaborations, and apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in
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apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in genome engineering, synthetic biology, or a closely related
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. Build and sustain long-term quantum computing and simulation capabilities at Monash University. About You You will bring: PhD in Computer Science, Electrical Engineering, Maths, or Physics Expertise in
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
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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Overview: RMIT Europe, in collaboration with RMIT University, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Regenerative Design Interventions in
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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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. Qualifications and requirements A PhD in Engineering or Computer Science with relevance to the outlined research area. A first degree in Engineering with research experience in creating digital twins or digital