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, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply. To be eligible for this scholarship, you must: Meet
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, no more than two pages in length, AND A selection of five examples of your own, original artistic work in the form of images of visual works (.JPEG), OR A selection of five examples of your own
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small-scale and/or large-scale structural testing, including operation of servo-hydraulic dynamic test frames, knowledge of control software, and knowledge of the basic concepts of hydraulic systems. Have
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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drones can capture visual and thermal imaging at a very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by
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body promoting the imaging and consumer electronics industry and promoting photography education for over 35 years. Upon winding up its' operation in 2022, it has donated all remaining funds to RMIT
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below or contact Assoc. Prof. Maggie Zhai via email maggie.zhai@rmit.edu.au Position Description - Research Fellow (Postdoc) - Level A Please note, if you are viewing this advert from an external site
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this position, you will have: PhD or equivalent in relevant field Evidence of experience in some or all of the following: bacterial culture, mammalian cell culture, antimicrobial testing, advanced imaging
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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