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. The supervisors are experts in deep learning, machine learning and underwater acoustic communications. Dr. Chan (total citations 5282; h-index 38) has good track record in deep learning and machine learning
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numbers of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models. Explanations of models are also needed
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mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
achievement. Previous research experience/track record is advantageous but not essential. Some key research skills for our group are listed below. Over the course of their candidature, a successful applicant
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. The expected outcome is to track the critical elements involved in the hydrogen and helium gas resources. This may result in fast-tracking the industrial production of natural hydrogen. Student type Future
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for dementia and sector-spanning models of care to improve quality of care and quality of life. Dr Ayton has a strong track record in health and social care research and methodological approaches including
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, yesterday. International 5 Jun 2025 University of Melbourne Sustainability Report: Building campus biodiversity The University of Melbourne will be better able to track, protect and enhance the rich
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will help you establish a track record relevant to the circular economy, sustainability and waste minimisation. It also provides a great opportunity to work with the Australian plant processing industry
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condition applicants from other minority groups where there is a need to increase their representation in robotics and AI applicants must be able to demonstrate an outstanding track record, for example first
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at the intersection of causal learning, inference, and deep learning, leveraging Graph Neural Networks (GNNs) and Large Language Models (LLMs). The successful candidate will explore how GNNs can model causal structures