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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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. Fixed term, full time position available for 2 years with a possible of extension. Train with an amazing group of molecular biologists focussed on addressing critical gaps in our understandings
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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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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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invite you to apply and request a copy of your CV together with a covering letter outlining your relevant qualifications, experience, research experience, and reasons for applying for the scholarship
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. This internship is ideal for a PhD student in the early stages of their studies who is looking to expand their skills in nanoparticle formulation, microfluidics, and translational biotechnology within a dynamic
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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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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