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Engineering, Solid-State Physics, Chemical Engineering, or a closely related discipline. Applicants must demonstrate: A strong interest in thermodynamics, kinetics, and microstructure evolution in materials
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the Department of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project forms part of the Baosteel–Australia Joint Centre (BAJC) collaboration and will investigate
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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academic entry requirement for admission into the Doctor of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University. Candidates
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into the Doctor of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University (e.g., IELTS, Overall 6.5, Speaking 6.0, Writing 6.0, Reading
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of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University. Candidates should have Masters or bachelor (Honours) degree in Engineering