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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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cutting-edge research in biochemistry, molecular biology and plant science. The student will be supervised by Dr Tatiana Soares da Costa based at the University of Adelaide. Dr Tatiana Soares da Costa is
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Criteria The applicant will need to meet the minimum eligibility criteria for admission. Application Procedure Interested applicants should send an email expressing their interest together with a copy of
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copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of your Australian passport, Australian Permanent Resident Visa or Australian/New Zealand
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Documents Original or certified copies of your academic transcripts and certificates A certified copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of
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group, we synthesise these functional nanomaterials from the bottom-up, using protocols of molecular beam epitaxy and on-surface supramolecular chemistry. We study these systems by means
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known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
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Electrochemistry is funded by the Australian Research Council through a Discovery Project entitled “Molecular Engineering of Locally Concentrated Ionic Liquid Electrolytes”. The purpose of this scholarship is to