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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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degree with strong skills in programming and machine learning. Please contact Zhuang Li for more information. The project focuses on developing multilingual datasets and advanced methods to detect and
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(one) Australian Citizen or Permanent Resident. Australian Citizen or Permanent Resident. Please send your latest bachelor and master (if applicable) degree transcripts along with your updated CV and a
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masters. Send details CVs to supervisor tianyi.ma@rmit.edu.au . Send details CVs to supervisor tianyi.ma@rmit.edu.au . Background in materials science, chemistry, nanotechnology. Background in materials
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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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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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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
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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