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methods for elemental tracking of Ca under biotic and abiotic environments in a range of substrates and microbial metabolic pathways using stable isotopes. A 3 year PhD project available at Curtin
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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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and surgical risk evaluation, benefiting a wide range of patients and healthcare providers. This project will receive robust support from Curtin University's School of Medicine, which has a strong track
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reactions, apply them to PCFCs, and uncover the mechanisms underlining enhanced performance. Objectives The specific objectives are: 1) Study Advanced PCFC Fabrication and Catalyst Synthesis Track global