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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
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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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condensed matter physics, physical chemistry or biology Possess a strong interest in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements
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. Applications are now open. Applications are now open. 05/2/23 05/2/23 For further information contact Professor Anna Hickey-Moody, anna.hickey-moody@rmit.edu.au and Dr Stephen Gaunson stephen.gaunson
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polymer science. Problem solving skills/experience in applied chemistry, mechanical or electrical engineering. For further information, please contact A/Prof. Ken Chiang (E: Ken.Chiang@rmit.edu.au
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process design and 3D metal fabrication communities. Open now. Open now. 31 December 2027. 31 December 2027. Contact Associate Professor Ken Chiang (ken.chiang@rmit.edu.au ) for more information. Contact
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email: philipp.reineck@rmit.edu.au For more information about our research, please visit https://www.reineckresearch.com For more information about our research, please visit https
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(honours) in biomedical sciences or equivalent For further information and enquires contact Professor Melissa Churchill (melissa.churchill@rmit.edu.au ) For further information and enquires contact Professor
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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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Nirantar at shruti.nirantar@rmit.edu.au for further information. Please contact Dr Shruti Nirantar at shruti.nirantar@rmit.edu.au for further information. The project is specifically related to Asian