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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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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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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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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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-based materials,[ 3 - 11] non-Cu metals and alloys,[ 12 - 16] and molecular catalysts such as cobalt phthalocyanines.[ 17 - 20] Despite these scientific breakthroughs, most current electrolysis systems
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) and complete any other CSIRO requirements. Ideally, the applicant will have a bachelor degree in chemistry, chemical engineering, material science or engineering or relevant fields. Preference will be
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the value of the spent battery materials. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by Research
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required new IEC standards relevant to the performance and lifetime of printed solar technology through developing a detailed understanding of printed solar degradation mechanisms and interactions with