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<span style="font-kerning: none; font-kerning: none"><b>We are accepting applications for the following postdoc position:</b></span></p>
<p style="margin: 0px 0px 12px; font: 14.7px Arial; margin: 0px 0px 12px"><span style="font-kerning: none; background-color: rgb(255, 255, 255); font-kerning: none; background-color: rgb(255, 255, 255)"><b>(Level A) $86,587 to $94,588 per annum plus an employer
contribution of up to 17% superannuation may apply</b></span><span style="font: 16px Helvetica; font-kerning: none; font-kerning: none"><br>
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<span style="font-kerning: none; font-kerning: none"><b>Fixed-term position available for 4 years</b></span></p>
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<span style="font-kerning: none; font-kerning: none"><b>Build your research career within the Australian Institute of Machine Learning, School of Computer Science and contribute to an innovative project with important applications in medical image analysis</b></span></p>
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<span style="font-kerning: none; font-kerning: none">Be part of a research team investigating new deep learning modelling approaches to leverage real-world large-scale image data sets containing noisy and incomplete labels and imbalanced class prevalence –
to enable the use of these data sets for modelling deep learning classifiers.</span></p>
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<span style="font-kerning: none; font-kerning: none">This project involves collaborating with international machine learning partners in Germany and Portugal, and an inter-disciplinary collaboration with the South Australian Health and Medical Research Institute
(SAHMRI). This position is within the Australian Institute for Machine Learning, which is an institute that conducts state-of-the-art research in machine learning, computer vision, and medical image analysis, hosting the largest computer vision and image analysis
research group in Australia.</span></p>
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<span style="font-kerning: none; font-kerning: none">The discoveries to be made in the project will significantly increase our understanding of deep learning theory regarding optimisation and noise models enabling the development of new applications that can
use previously unexplored data sets. This project represents a unique opportunity to produce future expertise for the Australian workforce, not only in university research, but in industry.</span></p>
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<span style="font-kerning: none; font-kerning: none">As the successful applicant, you will develop innovative machine learning methods that can use real-world large-scale image data sets containing noisy and incomplete labels and imbalanced class prevalence.
The majority of your work regards the development of novel machine learning methods, but you will also actively participate at the School of Computer Science by teaching courses, performing administrative activities and have co-supervision development opportunities.</span></p>
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<span style="font-kerning: none; font-kerning: none"><b>To be successful you will need:</b></span></p>
<ul>
<li style="margin: 0px; font: 14.7px Arial; margin: 0px"><span style="background-color: rgb(255, 255, 255); background-color: rgb(255, 255, 255)"></span><span style="font-kerning: none; background-color: rgb(255, 255, 255); font-kerning: none; background-color: rgb(255, 255, 255)">A
PhD (or near completion) in Medical Image Analysis, Computer Vision, Machine Learning, Artificial Intelligence or other closely related areas with a first degree in Engineering, Computer Science or a related discipline</span></li><li style="margin: 0px; font: 14.7px Arial; margin: 0px"><span style="background-color: rgb(255, 255, 255); background-color: rgb(255, 255, 255)"></span><span style="font-kerning: none; background-color: rgb(255, 255, 255); font-kerning: none; background-color: rgb(255, 255, 255)">Expertise
in programming machine learning methods, especially in Python (tensorflow and pytorch), C++ and Matlab</span></li><li style="margin: 0px; font: 14.7px Arial; margin: 0px"><span style="background-color: rgb(255, 255, 255); background-color: rgb(255, 255, 255)"></span><span style="font-kerning: none; background-color: rgb(255, 255, 255); font-kerning: none; background-color: rgb(255, 255, 255)">A
record of quality research as evidenced by publications in leading journals and at conferences</span></li><li style="margin: 0px; font: 14.7px Arial; margin: 0px"><span style="background-color: rgb(255, 255, 255); background-color: rgb(255, 255, 255)"></span><span style="font-kerning: none; background-color: rgb(255, 255, 255); font-kerning: none; background-color: rgb(255, 255, 255)">Good
interpersonal and communication skills with the ability to tailor communication skills when interacting with students, researchers, professional staff and external stakeholders</span></li><li style="margin: 0px; font: 14.7px Arial; margin: 0px"><span style="background-color: rgb(255, 255, 255); background-color: rgb(255, 255, 255)"></span><span style="font-kerning: none; background-color: rgb(255, 255, 255); font-kerning: none; background-color: rgb(255, 255, 255)">A
strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners</span></li></ul>
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<span style="font-kerning: none; font-kerning: none"><b>Enjoy an outstanding career environment</b></span></p>
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<span style="font-kerning: none; font-kerning: none">The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations
- offers you vast scope and opportunity for a long, fulfilling career.</span></p>
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<span style="font-kerning: none; font-kerning: none">It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in
your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.</span></p>
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<span style="font-kerning: none; font-kerning: none">Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so
we work to grow and diversify the skills of our staff.</span></p>
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<span style="font-kerning: none; font-kerning: none">In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.</span></p>
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<span style="font-kerning: none; color: rgb(0, 0, 0); font-kerning: none">Learn more at: <a href="https://careers.adelaide.edu.au/cw/en/job/503710/internal-grantfunded-researcher-a-school-of-computer-science"><span style="text-decoration: underline; font-kerning: none; color: rgb(0, 0, 233); text-decoration: underline; font-kerning: none">https://careers.adelaide.edu.au/cw/en/job/503710/internal-grantfunded-researcher-a-school-of-computer-science</span></a></span></p>
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<span style="font-kerning: none; font-kerning: none">Regards</span></p>
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<div style="color:rgb(33,33,33)"><font style=""><font face="Arial"><b><span style="font-size:10pt">Gustavo Carneiro</span></b></font><font face="Arial" style="font-family:Helvetica"><b></b></font></font></div>
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<span style="font-size:10pt">The University of Adelaide</span></font><font face="Arial"><br>
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<span style="font-size:10pt"></span></font><font face="Arial"><span style="font-size:10pt">The University of Adelaide CRICOS Provider Number 00123M</span></font></font></div>
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