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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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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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School La Trobe Business School is a leading Australian Business School committed to enhancing business learning through education and research, which is innovative, responsible, and engaged. AACSB
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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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Dean, Learning and Teaching (ADLT), the Senior Academic Support Officer (where applicable) and the course and subject coordinators to implement the School’s operational teaching and learning workflows
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the theories and principles learned, or extensive experience, leading to either the development of specialist expertise or to the development of broad knowledge in an administrative field, or an equivalent
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To be considered for this position, you will have: Degree with subsequent relevant experience to consolidate the theories and principles learned, or extensive experience, leading to either the development
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principles learned, or extensive experience, leading to either the development of specialist expertise or to the development of broad knowledge in an administrative field, or an equivalent high level
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experience to consolidate the theories and principles learned, or extensive experience, leading to either the development of specialist expertise or to the development of broad knowledge in an administrative