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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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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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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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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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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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outcomes About You You bring research experience in post-disaster or community settings and have strong interpersonal and analytical skills. You’re also comfortable working independently while being a
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below or contact Dr. Erica Kuligowski (Principal Research Fellow (ARC future fellowship) via email erica.kuligowski@rmit.edu.au . Please do not send your application to this contact. Position Description
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computer literacy across a wide range of programs and applications – online communications tools including Canva, and experience in video editing and website content management systems would be advantageous
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applications from the Aboriginal and/or Torres Strait Isla n der community. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We
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are eligible to apply. Confirmation of Australian Aboriginal and/or Torres Strait Islander heritage is required, and you will need to submit this during the application process. Please click here for more