158 postdoctoral-fellowship-in-material-science PhD scholarships at Curtin University in Australia
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, Generative Artificial Intelligence (GenAI) presents both unprecedented opportunities and challenges for science education. Notably, GenAI tools like ChatGPT-4 and DALL-E3 boast multimodal capabilities
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Listening 6.5 or TOEFL, Overall 79, Reading, 13, Listening 13, Speaking 18, Writing 21). Students with the below skills are encouraged to apply: A background in materials science, characterisation of porous
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. Experimental and numerical studies will be conducted to investigate the behaviors of metaconcrete material and structure against dynamic loads. Student type Future Students Faculty Faculty of Science
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trading based on blockchain technology to address network constraints for two-sided markets The ARC Training Centre in Energy Technologies for Future Grids has been established in 2022 to address
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to information is a significant pathway for accessing knowledge and open science. Hence, it is hugely important to ensure such access to information is as widespread as possible. If we accept that in contemporary
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://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University. Candidates should have Masters and bachelor (First Class Honours) degree in Engineering (e.g., Chemical, Materials
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The candidates will be working in the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, “Transforming Smart
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cells, and other electrochemical energy systems. The candidate is also expected to have knowledge of Materials Science and Engineering, Chemical Engineering, Electrochemistry, Inorganic Chemistry, and/or
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on cardiovascular and brain health in older people at a high risk of dementia. References: 1 Lundberg, J.O., et al., Nitrate and nitrite in biology, nutrition and therapeutics. Nature Chemical Biology, 2009. 5(12): p
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available at the Centre for Optimisation and Decision Science at Curtin University. The research will focus on developing robust adaptive techniques for solving complex problems in mathematical physics