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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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. The project team will work with the world class AI and machine learning experts and target at solving real clients' problems. This scholarship aims to develop practical methods for optimisaton in large supply
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RMIT PhD enrolment requirements apply. Candidates should have an undergarduate degree in a relevant field of science or engineering. Standard RMIT PhD enrolment requirements apply. Candidates should have
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This project is supported by a full scholarship within the context of ARC discovery project DP240101215. Candidates with a background in Chemistry, Chemical Engineering and Materials science are
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translated to real world applications. This project will explore the use of integrated photonic chip technology to realise all of the components of an atomic clock on a single chip. It will be conducted
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. $34,841 per annum for 3 years. $34,841 per annum for 3 years. Strong academic performance in computer science at undergraduate and masters level, with evidence of prior research experience in machine
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, cover letter, and academic transcript to Dr Keng-Te Lin ([email protected] ). Now Now 30 June 2024. 30 June 2024. Preferable with background in materials science, optics, and engineering. This
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candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, mineral leaching process, and mining site environmental science through hands-on experiments as
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PhD Scholarship for a chemistry, materials or chemical engineering student looking to apply their skills in electrode development for electrocatalytic CO2 reduction. Research will be conducted
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with qualitative research methods in social science as well as some quantitative methods in data collection and analysis. Experience in conducting research among culturally and linguistically diversified