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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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. Research area: Hydrometallurgy, chemical engineering, Analytical chemistry, or geochemistry. Prospective candidates will be invited to submit a full application for admission to the PhD Applied Chemistry
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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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masters. Send details CVs to supervisor [email protected] . Send details CVs to supervisor [email protected] . Background in materials science, chemistry, nanotechnology. Background in materials
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The scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the School of Science CAMIC Laboratory. The project is a collaboration with Assoc. Prof Ravi Shukla to test
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Reactive small molecules such as phosphine are commonly used industrially as fumigants to eliminate pests and microorganisms from bulk commodities and cash crops alike. Many of these fumigants are highly toxic and can only be reliably tested at >1ppm levels. To overcome this limitation, new...
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(or equivalent) in physics, engineering, chemistry, biochemistry, medicine, bioinformatics, modeling, image analysis or any other relevant field. Excellent English language skills are a prerequisite. This project
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for 3 years. Open now. Open now. 8 September 2024. 8 September 2024. One (1). One (1). Applicants require a Bachelors Degree with Honours (or equivalent) in either Chemistry or Physics. Applicants
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engineering, materials science, chemistry, and engineering. This project relies on polymer science and synthetic chemistry to design the novel polymer chemistry and nanofibre structures for advanced membrane
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background and/or previous experience or publications in materials science, chemistry, engineering physics, nanotechnology. Experience or strong interest in modelling, and/or clean energy. Preferable