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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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-theoretic tools to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the
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to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability
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metrology, with proficiency in applying information-theoretic tools to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to
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metrology, with proficiency in applying information-theoretic tools to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to
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to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability
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Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration
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frameworks apply to autonomous AI systems. The PhD candidate will have the opportunity to contribute to this critical policy discourse through empirically grounded research. This doctoral project will conduct