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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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contributes to a nationally funded research program focused on improving bowel cancer screening, early detection, and treatment in rural and remote communities—particularly among Aboriginal and Torres Strait
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. The Postdoctoral Fellow will have a unique opportunity to be part of this world-leading and agenda-setting research program. The Discovery Postdoctoral Fellow will report to Professor Lucas Lixinski (Law & Justice
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analysis. Support the management of a large, multi-stakeholder research program. Contribute to advocacy through data and policy-relevant insights. The role offers flexible working arrangements, with
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PRIMARY DETAIL - Salary Package: $109,272 (Level A, Step 6 - PhD awarded rate) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Full-time (35 hours per week
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and community partners, secure research funding, and contribute to JCU’s broader academic mission. About You Essential: PhD (completed or near completion) in psychology or a related discipline (e.g
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opportunity The University of Sydney is seeking a Postdoctoral Research Associate/Fellow to join a flagship, industry-funded research program advancing carbon-neutral energy systems modelling for Australia’s
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm