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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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having knowledge about theoretical computations and modelling will be highly preferred. The PhD candidate should have a strong interest in materials chemistry, good understanding of crystal structure, as
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or computational materials modelling is highly desirable. Background in either AI or computational materials modelling is highly desirable. This scholarship will be governed by RMIT University's Research Scholarship
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in electrochemistry is welcomed Experience in electrochemistry is welcomed This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions . This scholarship will be
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information on the research programs, please refer to https://dfco2.org.au/research/ This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions . This scholarship will be
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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.) will be employed to characterize the carbon nanofiber structures. For molecular level, understanding, DFT modeling will be employed. This scholarship will be governed by RMIT University's Research
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scholarship is available. One scholarship is available. Eligibility requirements: have a first-class Honours or Master's or equivalent degree in a relevant discipline of engineering/science be an Australian
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models Working closely with industry partners through internship program RMIT School of Engineering Scholarship is available for an aspiring chemical engineering graduate (BTech/Masters) to conduct
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conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. This scholarship will be governed by RMIT University's Research Scholarship