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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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of generative artificial intelligence in the research project either as a phenomenon being directly tested and studied, or as a substantial component of the research design or methodology. Proposals
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less than 6.0 TOEFL Internet-based test: 79+, Writing 21, Speaking 18, Reading 13, Listening 13 Pearson Test of English Academic: 64+, no communicative skill below 60 Cambridge English Advanced
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In collaboration with specialist researchers at the Adelaide Medical School and Repromed, South Australia’s leading fertility specialist, the successful PhD candidate will examine the importance
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to $5000 (total) for computer / software / conference attendance to present PhD results. Scholarship Details Maximum number awarded 1 Eligible courses Higher degree by Research (PhD) – in Health Sciences
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, chemotherapy, viral infections and diabetes mellitus. Looking at clinical studies, the current research process is to propose a model, conduct animal tests and then evaluate whether the original model is
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proficiency test results (if applicable) Names and contact details of 2 academic referees Copy of your current passport (if available) Once you have discussed your EOI with Dr Keele, please submit your
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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods
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testing As a developer, automation can be your friend. Related Information Disability Services Disability Information Need web help? All websites and applications which form part of the University web