590 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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to work closely with other leading academics at Monash University, including Professor Carol Propper , A/Prof Terrence Cheng and Dr Danusha Jayawardana . As a candidate in the CHE Integrated PhD Program
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PhD Studentship Description: The studentship will be based at Monash University Monash Medical AI Group led by Associate Professor Zongyuan Ge. The successful candidate will join a multi
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www.monashchildrenshospital.org/monash-newborn , and www.hudson.org.au/research-centre/the-ritchie-centre . Supervisory team The principal supervisor will be Associate Professor Flora Wong. Co-supervisor will be Professor Rod Hunt
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for the role, as determined by the University. Enquiries: Associate Professor Bernhard Mueller, School of Physics and Astronomy, Faculty of Science, bernhard.mueller@monash.edu Position Description: Research
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Architecture, they will work with Professor Kalms and a Post Doctoral Research Associate. The XYX Lab, co-directed by Professor Nicole Kalms is a team of interdisciplinary design researchers exploring gender
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offers a unique opportunity to contribute to the growth of emerging research excellence in nursing, while primarily supporting Associate Professor Innes and Associate Professor Jones in key research
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Research into Antisemitism, led by Associate Professor David Slucki. The Initiative supports rigorous, policy-relevant and publicly engaged research on antisemitism in Australia. This scholarship is open to
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the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team The principal supervisor will be Professor Danielle Mazza AM FAHMS . Professor
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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real-life data. Expected outcomes include improved anomaly detection methods with reduced false positives, thereby reducing the costs associated with investigating false positives and minimising resource