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the areas of experimental and theoretical physics, synthetic, physical and computational chemistry, material sciences and related areas. The Opportunity The OPTEXC IRTG involves 20 academics in Australia and
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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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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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, reduce resource waste, and create scalable mental health interventions, advancing national sustainability and education priorities. Value • Stipend of AUD $47,020 • Maximum period of tenure of an award is
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is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
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Student type: Domestic and international students Study stage type: Future study, Current study Study area: Engineering Need help understanding the process? Visit our scholarship guide Application How
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following cycles caused by changes in chemistry and hydrogen bond donor (HBD) composition. DES also exhibits poor chemical stability at higher operating conditions, resulting in solvent loss. Furthermore
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Curtin University. Candidates should have Masters and bachelor (First Class Honours) degree in Engineering (e.g., Chemical, Materials, Environmental, Resources) or Chemistry (e.g., Inorganic Chemistry
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concept of this project lies in the design of novel perovskite materials as both electrolyte and electrodes for facilitating water splitting for hydrogen production. Such new technology is anticipated