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will receive the highest value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need.
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of A/Prof Patrick Burr, please visit https://www.patrickburr.com/group At UNSW, you will join a vibrant materials research community within the School of Mechanical and Manufacturing Engineering and the
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Environmental Engineering laboratory or similar work setting including learning & teaching and research laboratories. Demonstrated experience in operating, training and maintaining laboratory-based instruments
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. In this unique role, you will work closely with data scientists, a bioinformatician and a machine learning specialist to construct custom workflows that allow the high-throughput processing and
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ability to build positive relationships with a range of people. Strong problem-solving skills with the aptitude to learn new systems and adapting to change quickly. Experience working across the employee
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Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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the development of a teaching culture of practice, and high-quality research within the School. Your responsibilities will include: Conduct learning activities online, distributed or face-to-face as appropriate
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based on matched-filter statistics. Detecting the unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary
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help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https