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relativistic quantum information (RQI). This highly challenging PhD experience will offer you the chance to work on world-class research combining quantum information theory with key aspects of quantum field
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-compounds as anti-ovarian cancer therapeutics. 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
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gold compounds as anticancer therapeutics. 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
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about future states of species populations and ecological communities. The project will explore the application of dynamical point process models from probability theory to ecology so as to determine
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, having already been published in Nature , and will provide excellent career possibilities for a talented and driven student. The scholarship is valued at AU $32,260 per year for up to 3.5 years. It is
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in biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong analytical and problem-solving
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criteria. f) The university will issue a letter of offer for the program if all conditions have been satisfied. a) Applicants are required to submit an expression of interest (EOI) following the instructions
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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
will be trained is some of these different skills: Micro/nanofabrication Simulation/design of optical components Integrated photonic circuits Programming skills in Python, C/C++ Theory of electromagnetic
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT