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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
for highly motivated and passionate PhD students to become part of our team. You will work with centre members from diverse research backgrounds in the disciplines of engineering, physics, chemistry and
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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Scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the RMIT School of Science CAMIC Laboratory. Project is a collaboration with immunologists (SHBS) to test gold
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details of two referees. Evidence of English proficiency may be required. Research area: chemistry, chemical engineering, mineral processing, chemical sensing, environmental science or geochemistry
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denaturation measuring systems (e.g., CD, FTIR), surface/interface measuring systems, microscopy and microanalysis. Applicants should have a background in either chemistry, polymer science, materials science
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resume and cover letter to Nhiem Tran (nhiem.tran@rmit.edu.au ) Send resume and cover letter to Nhiem Tran (nhiem.tran@rmit.edu.au ) Candidate should have a background in physics, engineering, or chemistry
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. 30/05/2028 30/05/2028 1 (one) 1 (one) Applicants must meet RMIT University's minimum requirements for admission to a Doctor of Philosophy (PhD) program and should hold an Honours degree (First Class
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). 1 (One). You must have a first class honours or masters degree in mathematics, computing or chemistry. You must have a first class honours or masters degree in mathematics, computing or chemistry
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(One). 1 (One). You must have a first class honour degree or masters in materials engineering, robotics or chemistry You must have a first class honour degree or masters in materials engineering
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investigations at macro, micro and molecular levels. Modeling tools such as HSC Chemistry and ASPEN Plus will be used to identify most suitable low cost catalysts/minerals and to perform process modeling