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, you’ll have: Experience and knowledge in the routine operation, maintenance, and training of various forms of equipment or instruments related to Medical Imaging/Nuclear Medicine/ Radiation Therapy
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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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imaging techniques (e.g. atomic force microscopy, confocal microscopy or electron microscopy) Evidence of experience in materials synthesis or characterisation e.g. rheology, deep eutectic solvents
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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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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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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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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