18 post-doc-image-engineering-computer-vision Fellowship positions at RMIT University
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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Overview: Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD experience 17% Superannuation and Flexible Working Arrangements Based
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to) the social sciences (e.g., psychology or sociology); urban studies; organisational studies; computational social science; or fire, civil or humanitarian engineering; or equivalent in relevant field. Preferred
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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outcomes through conferences, seminars, and public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about
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rata) + 17% Superannuation Based at the Defence Science and Technology Group (DSTG), Port Melbourne, but may be required to work from time-to time at other campuses of the University Make a Real Impact
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contact Dr. Md. Ataur Rahman via mdataur.rahman@rmit.edu.au Apply via RMIT's How to apply page and contact Dr. Md. Ataur Rahman via mdataur.rahman@rmit.edu.au The student should have a Bachelor or Masters
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. Qualifications and requirements A PhD in Engineering or Computer Science with relevance to the outlined research area. A first degree in Engineering with research experience in creating digital twins or digital
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to RMIT’s leadership in quantum science and technology. This includes collaborating closely with the other members of the QuRMIT Theory Lab, participating in research supervision, contributing to grant
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Overview: RMIT University, in collaboration with ACCIONA, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Geopolymer Optimised for Acid Exposure