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degradable, and thus remain in our environment for extended periods of time. Further, the shift towards greener methodologies demands that plastic generation becomes circular, so that starting materials can be
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synthesis, with a strong emphasis on flow chemistry, online spectroscopy and automated reaction control. We live without doubt in the age of data, and even though chemistry is still a domain in science that
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of interest are sought from outstanding domestic candidates for PhD study in the Department of Electrical and Computer Systems Engineering, focusing on cutting-edge research in novel materials
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PhD Opportunity: Machine learning-based kinetic modelling on the thermal decomposition of plastic waste via pyrolysis Job No.: 661850 Location: Clayton / Advanced Fuel Innovation premises in
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Science and AI (DSAI), Faculty of IT (FIT), is home to many world-class research programs in artificial intelligence. Monash Biomedical Imaging is one of the most advanced imaging centres in Australia
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for model validation. Desired Student Skillset Essential skills for this project include a background in Mechanical/Chemical/Materials Engineering, with familiarity in CAD or computational fluid dynamic
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materials, we engineer artificial materials with customized electronic properties. As a member of our team you will unveil the mysteries of new materials, exploring their rich properties and their potential
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will interact with Australian and international researchers in the fields of solid-state physics, materials science and nanotechnology, gaining state-of-the-art expertise in these areas of research. "2D
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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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gases" "Ultrafast dynamics of quantum matter" "Interactions between strongly coupled light-matter quasiparticles" "Atomically thin materials coupled to light" "Periodically driven many-body systems" web